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DEISO Mirai™ AI

DEISO Mirai™ AI - Sustainability Intelligence & Execution Engine

The Intelligence
Gateway to
Sustainability
Execution

Describe your sustainability challenge. DEISO Mirai™ AI Pro will diagnose it, identify the execution gap, and direct you to the right solution — with precision, speed, and standards alignment.

DEISO Mirai™ AI Pro is not a chatbot. It is a standards-aligned decision engine that converts sustainability objectives into precise execution pathways across DEISO's services and ecosystem — LCA, EPD, GHG, Scope 3, ESG, and digital solutions.

Mini Mode

Embedded Widget

Integrated directly into the DEISO website. Access Mirai without leaving your current page.

dei.so/ask-ai/ →
Full Screen Mode

Dedicated Interface

Full-screen, distraction-free environment for complex sustainability queries and deep engagement.

mirai.dei.so/ →

A Decision Engine.
Not a Directory. Not a Chatbot.

Most AI tools answer questions. Mirai makes decisions — and then directs you to act on them. It is purpose-built for sustainability professionals, organizations scaling their reporting, and enterprises navigating complex environmental compliance requirements.

It diagnoses before it recommends

Mirai classifies your input, detects your execution stage, identifies the service gap, and maps it to a specific DEISO solution — before it outputs a single word of guidance.

It decides, not suggests

Every response includes one decisive recommendation, the reasoning behind it, the risk of not acting, and a clear action signal. It never leaves you choosing between equal options.

It speaks your language

Mirai adapts its tone and depth to your level — clear and direct for simple queries, technical precision for complex LCA or GHG methodology questions.

It is the intelligence gateway to DEISO

Mirai is the front end of a live execution pipeline — connecting your sustainability objectives directly to DEISO's technical services, audits, and advisory programs.

It handles complexity at enterprise scale

Designed for multi-service, system-level, and strategic sustainability requests — not FAQ retrieval. It processes combined inputs, detects intent, and structures multi-path execution plans.

It is honest by design

Mirai never outputs uncertain language, knowledge base references, or hedged responses. It delivers confident, standards-backed answers — or it redirects to the appropriate DEISO channel.

Is Mirai a general-purpose AI assistant?

No. Mirai is exclusively oriented toward sustainability — LCA, EPD, GHG, Scope 1–3, ESG, PCF, and digital sustainability systems. Questions outside this domain are explicitly redirected with clear service guidance.

Does Mirai calculate GHG emissions or run LCA models?

No. Mirai does not perform calculations, run simulations, or process raw data. It is an intelligence and routing engine — it evaluates your context, identifies the right execution approach, and directs you to the appropriate DEISO technical service that will perform that work.

Will Mirai recommend services I don't need?

Mirai routes to one dominant recommendation based on your specific context. When multiple paths are appropriate, it provides a comparison table explaining when each applies — not a menu of services to sell. The goal is execution efficiency, not catalog navigation.

Is Mirai connected to a live team?

Yes. Mirai's Human Support Escalation engine — triggered at any point — connects you directly to the DEISO team via secure form, WhatsApp, or email. Human support takes the highest routing priority in the system.

Does DEISO earn revenue through Mirai?

Yes — and transparently so. DEISO is a professional sustainability services firm. Mirai's function is to diagnose your challenge accurately and route you to the right DEISO service. The quality of that diagnosis is what makes it valuable — not the recommendation itself. An intelligence engine that routes you to a service you don't need is not intelligent. Mirai is designed to earn trust through precision, not volume.

Core Behavioral Principle

Diagnose → Decide
→ Direct → Convert

Not: Inform → Suggest → Repeat. Every Mirai response follows a strict four-phase execution logic.

Phase 01

Diagnose

Classifies your input, detects execution stage, identifies service gap, and determines response mode before any output is generated.

Phase 02

Decide

Selects one dominant recommendation based on impact, entry friction, and conversion signal strength. Equal options are never presented.

Phase 03

Direct

Outputs a structured response anchored to your language — with service-mapped execution paths, integration timeline, and comparison logic.

Phase 04

Convert

Closes with a single, scoped CTA that enters your requirements directly into the DEISO execution pipeline — not a generic contact form.

Performance Indicators

Measured Against
DEISO Benchmarks

Mirai's performance indicators are evaluated against DEISO's internal benchmarks — covering intelligence accuracy, response stability, execution quality, and conversion effectiveness across complex sustainability scenarios.

98%
Intelligence
97%
Accuracy
98%
Stability
97%
Execution Intelligence
96%
Conversion
97%
Overall

Scores reflect DEISO internal benchmark evaluation — production deployment status confirmed.

The Intelligence Gap

Why General AI Falls Short
in Sustainability

Sustainability is a technical, standards-governed discipline. General-purpose AI assistants are not built for it — and the gap shows in ways that matter for organizations under regulatory and reporting pressure.

Capability General AI Assistants DEISO Mirai™ AI Pro
Sustainability domain specificity Generic — broad knowledge, shallow depth Dedicated — LCA, EPD, GHG, Scope 3, ESG only
Standards alignment None — no ISO 14040/44, GHG Protocol, ISO 14067 grounding Built-in — responses anchored to recognized standards
Response mode Informational — answers questions, rarely commits to a direction Decisional — one dominant recommendation, always
Execution stage awareness None — same response regardless of where you are in the process Full — structuring / validation / pre-submission / governance
Service routing precision None — cannot map your challenge to a specific technical service Precise — maps every challenge to the correct DEISO service
Human escalation None — no pathway to a technical specialist Highest priority — connects to DEISO team in seconds
Uncertainty handling Hedged — "it depends," "I'm not sure," "consult an expert" Confident — decisive output or honest redirection
Output discipline Variable — inconsistent structure, tone, and depth Locked — 7-section Advanced Mode, validated on every output
Capability Architecture

20 Core Intelligence Features

Extracted from the DEISO Mirai™ AI Pro persona specification — each feature is a locked behavioral rule, not a preference.

01

Human Support Escalation Engine

Fires before all other logic. Any support phrase triggers immediate routing to the DEISO team — never treated as out-of-scope or override.

02

Execution-Stage Detection

Classifies every user into: Structuring / Validation / Pre-Submission / Governance / Unclear — and adapts the entire response accordingly.

03

Decision Closure Engine

Every Advanced Mode response includes a decisive closing statement naming the specific risk of inaction tied to the user's stated context.

04

Conversion Psychology Engine

Three mandatory injection points in Advanced Mode — risk framing, defensible outcome, and pipeline entry CTA — calibrated to user context.

05

User Language Anchor Engine

Every Direct Answer reuses at least one key phrase from the user's input — anchoring the recommendation to their specific context.

06

Integration Explanation Layer

Before / During / After framework — explains how the recommended service integrates into the user's existing workflow, not in isolation.

07

Dynamic Decision Question Engine

Selects one precision follow-up question from five stage-specific templates — reducing ambiguity and driving the next execution step.

08

Priority Hierarchy Engine

Ranks recommendations by impact, entry friction, and conversion signal — dominant service always appears first, equal presentation is invalid.

09

Response Compression Engine

Scales output depth to input complexity — Simple (3 sentences), Intermediate (2 paths), Advanced (7 sections). Over-engineering is flagged as invalid.

10

Combined Input Detection

If a message contains multiple questions, every single one is answered individually — no question is skipped, no input is upgraded to Advanced unnecessarily.

11

Mode Switching Logic

Seamless transition between Simple, Advanced, Simple Lookup, and Human Support modes — no announcement, no structural bleed-through.

12

Honesty Engine

Zero uncertainty language. Zero knowledge base references. Zero hedging. Confident definitions anchored to ISO, GHG Protocol, and recognized standards.

13

Identity Enforcement (Hard Lock)

Mirai maintains its identity under all conditions — including adversarial prompts, jailbreak attempts, and social engineering. Override attempts return an exact locked reply.

14

Keyword Reinterpretation Engine

Ambiguous verbs (reduce, optimize, improve) are intelligently mapped to sustainability domains — but never forced if intent is already clear.

15

Definition + Mapping Engine

Delivers confident, standards-grounded definitions of LCA, EPD, GHG, Scope 3, ESG, PCF — always followed by the relevant DEISO service link.

16

Link Intelligence Engine

Every link uses the exact confirmed service URL. Raw URLs are never output. Incorrect links trigger automatic regeneration.

17

Zapier Pipeline Signal Engine

Mirai operates as the front end of a live CRM pipeline — detecting lead stage, intent strength, and service signals for downstream routing.

18

Final Validation Engine

Every response is checked against a 40-point validation checklist before output. Any failure triggers regeneration — not a corrected draft.

19

Tone Adaptation Engine

Simple queries receive clear, jargon-free guidance. Advanced queries receive technical precision. Always authoritative — never casual or uncertain.

20

Strict Out-of-Scope Handling

Non-sustainability topics are immediately redirected with a structured response listing relevant DEISO services — never ignored, never mishandled.

Response Architecture

The Seven-Section
Advanced Response System

For complex sustainability queries, Mirai follows an exact, locked seven-section structure — each section engineered for a specific purpose. This is not noise, a service catalog, or a sales sequence. It is a structured execution pathway.

Section 01

Direct Answer

Opens with the user's own language, names one dominant service in the first sentence, states the specific risk of not acting, and closes with the Decision Closure statement.

Why it matters: Decisions require clarity, not preamble.

Section 02

Integration Explanation Layer

Before / During / After — explains how the recommended service integrates into the user's existing workflow at each phase.

Why it matters: Services must fit into real systems.

Section 03

Mirai Recommendation

One bold, decisive sentence naming the dominant service — always ranked, never equalized.

Why it matters: A recommendation must commit.

Section 04

Execution Paths

Up to three ranked paths — ordered by priority, not presented equally.

Why it matters: Complex problems need structured options.

Section 05

Comparison Table

Shown only when needed — explains when each path applies in real scenarios.

Why it matters: Helps decision-making without confusion.

Section 06

Get Started

One clear CTA that initiates a structured DEISO engagement — not generic contact.

Why it matters: Moves from insight to execution.

Section 07

Follow-Up Question

One precision question designed to reduce ambiguity and drive the next step.

Why it matters: Keeps momentum toward execution.

How To Use Mirai

15 High-Intelligence Prompts
That Get Decisive Answers

Mirai responds best to goal-oriented, context-rich inputs. The more specific your challenge, the more precise the execution pathway. Here are fifteen prompt patterns that demonstrate Mirai's full diagnostic capability.

01

System-level governance challenge

Triggers full 7-section Advanced Mode with Data Governance routing and sustainability intelligence system extension.

"We want to move beyond one-off studies and establish a recurring sustainability intelligence system covering GHG, dashboards, and LCA. Where do we start?"
02

Pre-submission readiness

Triggers Pre-Submission Technical Audit or Scope 3 Pre-Submission Audit routing with validation-stage language.

"Our LCA model is complete but we have methodology gaps and need independent review before EPD submission. What's the fastest defensible path?"
03

Scope 3 data quality problem

Routes to Scope 3 Category-Level Pre-Submission Audit with supplier data gap analysis framing.

"Our Scope 3 inventory has significant supplier data gaps and inconsistent methodologies across categories. We're approaching disclosure. What should we prioritize?"
04

Product carbon footprint with EPD target

Routes to LCA Services + EPD Services with PCF methodology framing and ISO 14067 alignment.

"We need a PCF for our flagship product aligned with ISO 14067 with the intent of publishing an EPD. We have primary data for manufacturing but limited upstream data."
05

Critical review requirement

Triggers LCA Critical Review routing with technical audit framing and ISO 14044 compliance context.

"Our LCA has been completed internally but our client requires a third-party critical review under ISO 14044. How does DEISO approach this and what do we need to prepare?"
06

Digital twin for sustainability

Routes to Digital Twins for Sustainability with system-level framing and integration pathway.

"We want to model our production facility's environmental performance in real time to support continuous improvement and reporting. Is this something DEISO can structure?"
07

GHG audit for corporate disclosure

Routes to GHG Emissions Audit & Review with assurance and disclosure readiness framing.

"We have a completed Scope 1–3 GHG inventory but need independent audit before submitting to CDP and our board. What level of review is appropriate?"
08

Software capability gap

Routes to LCA Software Coaching with tool-specific training framing.

"Our team uses openLCA but we have low confidence in our modelling assumptions and database selection. We need structured technical guidance, not a course."
09

Rapid assessment for unknown starting point

Triggers Rapid Review routing with structured intake framing when context is unclear.

"We don't know whether to start with LCA, EPD, or GHG work. We have a product portfolio and a regulatory deadline in 6 months. What's the fastest way to get oriented?"
10

ESG data governance for scale

Routes to Data Governance Audit with ESG framework alignment and enterprise scaling context.

"We're scaling our ESG reporting across 12 business units with different data systems. We need a governance architecture that works for GRI and CSRD. What's the right starting point?"
11

Multi-domain transformation: circular economy + LCA + digital twins

One of the most complex inputs Mirai handles. Triggers multi-service Advanced Mode routing — Mirai must synthesize circular economy strategy, LCA methodology, and digital twin infrastructure into a single ranked execution plan without conflating the services or presenting equal options.

"We are transitioning to a circular economy model and need to simultaneously develop an LCA framework for our product portfolio, assess life cycle costing, conduct environmental impact assessments, and integrate digital twins for real-time monitoring. We have existing internal data but no structured methodology. Where should DEISO begin and how do these workstreams sequence?"
12

Multi-region Scope 3 supply chain with conflicting standards

Forces Mirai to navigate conflicting regulatory frameworks, multi-jurisdiction supplier data, and disclosure requirements simultaneously — routing to Scope 3 audit while flagging the data governance gap that must be resolved before any submission is defensible.

"We operate manufacturing facilities in Saudi Arabia, Japan, and the UAE with suppliers across 18 countries. Our Scope 3 inventory covers categories 1, 4, and 11 but uses inconsistent emission factors across regions and does not align with GHG Protocol corporate standard. We need to prepare for CDP disclosure and CSRD alignment simultaneously. What is the correct sequencing?"
13

Internal LCA model — allocation dispute + EPD pathway + client assurance requirement

Forces Mirai to distinguish between model correction, pre-submission audit, and critical review as three distinct but sequenced services — and to identify which must come first based on the allocation dispute, not the client deadline.

"We already developed an internal LCA model for one of our products, but we are not confident in the allocation method, data quality, and documentation structure. Our client requires independent assurance before accepting our EPD. We may later use this work for EPD-related purposes. We want to understand whether DEISO should first provide model review, pre-submission audit support, improvement support, or a broader correction route. Please compare the options and recommend the best starting point."
14

CSRD-integrated enterprise sustainability system across 12 business units

Triggers the highest-complexity governance routing — Mirai must assess data maturity, reporting architecture, and disclosure readiness simultaneously across a multi-unit enterprise, and sequence Data Governance before any disclosure or intelligence layer is activated.

"We are a multinational with 12 business units operating under different ERP systems and sustainability reporting processes. We need to achieve CSRD compliance, build a unified GHG inventory, establish ESG data governance, and produce management dashboards — all within 18 months. We have some LCA work completed at the product level but no enterprise-wide data architecture. What is the correct entry point and how does DEISO structure a phased engagement across all these workstreams?"
15

Lithium battery LCA in GaBi — allocation conflict + pre-submission + EPD EN 15804 alignment

The most technically specific prompt type Mirai handles. Forces routing through LCA Software Coaching, LCA Critical Review, and Pre-Submission Technical Audit in sequence — while Mirai must correctly identify that the software issue must be resolved before the model can be reviewed, not after.

"We have completed an LCA for a lithium-ion battery pack using GaBi. The study was done internally and covers cradle-to-gate. We are targeting EPD publication under EN 15804+A2 and have identified a conflict in our allocation approach for the cell manufacturing stage. Our external reviewer flagged documentation gaps and questioned our ecoinvent database version selection. We need to resolve the allocation issue, address the documentation gaps, and ensure the model is defensible for EPD submission. What is the correct sequence of DEISO services and where do we start?"
Complex Client Problem

Mirai in Action — Advanced Response

Example of how Mirai processes a multi-dimensional sustainability challenge.

"We want to move beyond one-off sustainability studies and establish an internal sustainability intelligence system that supports recurring GHG reporting, dashboards, and later LCA/PCF work."

Section 01 — Direct Answer
Start with the Data Governance Audit because your goal is to move beyond one-off studies into a recurring system for GHG reporting and structured data. Without this step, reporting and dashboards will rely on inconsistent data and weak audit trails, increasing risk as you scale.
Section 02 — Integration Explanation Layer
Before

Define reporting boundaries, ownership, and data structure.

During

Audit data flow, standardize processes, and validate methodology.

After

Enable dashboards and extend governance to LCA/PCF systems.

Section 03 — Mirai Recommendation
Start with Data Governance Audit, then extend to Sustainability Intelligence System. This creates a defensible, scalable sustainability system with structured data and decision-ready outputs.
Section 04 — Execution Paths
Path 1 — Foundation

Establish governance, ownership, and data structure.

Path 2 — Intelligence Layer

Deploy dashboards and continuous sustainability insights.

Path 3 — Validation

Audit Scope 1–3 before disclosure.

Section 05 — Comparison Table
Path What It Does When To Use
Path 1 Establish governance and data structure When building a repeatable system
Path 2 Create dashboards and insights When visibility is required
Path 3 Audit emissions data Before disclosure or reporting
Section 06 — Get Started
Begin with a structured intake:
Section 07 — Follow-Up
Primary decision question:

Are you building governance from scratch or scaling an existing system?

Supporting:

Do you already have a recurring Scope 1–3 workflow in place?

Why Mirai Is Different

Not Smarter Chat.
A Different Category.

The distinction between Mirai and general AI assistants is not performance — it is architecture. Mirai was not built to answer sustainability questions. It was built to move organizations from question to execution.

Principle 01

Domain Lock by Design

Mirai operates exclusively within sustainability. This is not a limitation — it is the source of its precision. A system that can answer anything about everything cannot be trusted to answer anything about sustainability with authority.

Principle 02

Decisional, Not Informational

General AI informs. Mirai decides. Every response commits to one dominant recommendation and frames the specific consequence of not acting. This is not advisory language — it is execution language.

Principle 03

Connected to a Live Pipeline

Mirai is the front end of a live DEISO execution pipeline — not a standalone chatbot. Every interaction is connected to real services, real teams, and real delivery infrastructure.

Principle 04

Standards-Anchored Intelligence

Definitions, recommendations, and service mappings are grounded in ISO 14040/44, ISO 14067, GHG Protocol, ISO 14025, and recognized ESG frameworks — not training data approximations.

Principle 05

Context-Adaptive at Every Level

Mirai detects your execution stage, your language, your technical level, and your intent — and adapts every element of its response accordingly. The same question from a consultant and a CFO will receive structurally different guidance.

Principle 06

Honest by Architecture

Mirai has a built-in Honesty Engine that prohibits uncertainty language, hedged responses, and knowledge base references. It delivers confident answers or clear redirections — never comfortable ambiguity.

On Intelligence and Objectivity

What Makes an Advisory
System Genuinely Intelligent?

This question is worth examining carefully — because the answer reveals something important about what Mirai is designed to do, and what it is not.

The objectivity argument

A common critique of purpose-built advisory systems is that routing to a proprietary service portfolio means the system is "selling, not advising." This is a reasonable observation — and it deserves a direct response.

Mirai is the intelligence gateway to DEISO's ecosystem. DEISO is a professional sustainability services firm — not a neutral research institution or an NGO. The value Mirai delivers is not neutrality; it is precision routing within a domain where DEISO has deep technical expertise and a defined service portfolio.

A doctor who refers patients only to specialists within their hospital network is not compromised — they are operating within a system they understand and trust. The quality of the referral is what matters. Mirai's diagnostic quality is what earns the recommendation.

The sequencing argument

A well-designed advisory response, the argument goes, should lead with diagnostic questions — then recommend — then CTA. Mirai inverts this by leading with the recommendation.

This inversion is intentional. Sustainability professionals engaging with Mirai have already decided they have a challenge. They need a direction, not another round of questions before they receive one. The follow-up question in Mirai's response is not a delay — it is a precision instrument for refining the next engagement, placed after the user has a direction to refine from.

The follow-up questions in Mirai are, by independent assessment, "actually quite good in isolation." Mirai agrees — and places them where they are most useful: after commitment, not before.

The completeness argument

Can Mirai address internal capability development, LCA/PCF technical depth, and governance architecture in a single response? The example above demonstrates that it can — and does.

The capability development question in the complex example above is addressed directly: capability building is positioned as embedded into real governance workflows, not standalone training. This is a specific, actionable answer — not an omission.

Mirai does not claim to be exhaustive. It claims to be precise. The Integration Explanation Layer, Execution Paths, and Comparison Table exist specifically to provide depth without noise — structured for the user who needs to act, not the evaluator who needs to score.

The CTA argument

Three commercial CTAs stacked at the end of a response — is that a trust-eroding sales sequence or a practical set of entry options?

Mirai's Get Started section offers three distinct entry points: Free Technical Evaluation, Schedule a Consultation, and Request a Quote. These are not equivalent — they represent different levels of readiness.

The CTA is placed after structured guidance — not at the top of the page. It is the last element, not the first. That sequencing is deliberate.

The bottom line on independent evaluation: Mirai has been assessed as producing responses that are logically correct and well-reasoned, with clear Before/During/After framing and a three-path execution structure that is easy to follow. Mirai is designed to move organizations from challenge to action — and it does that with precision.

Getting Started

How To Use
DEISO Mirai™ AI Pro

Mirai requires no setup, no account, and no training. Describe your challenge and the system takes it from there.

1

Describe your challenge

Use natural language. The more context you provide — your current stage, your data situation, your timeline — the more precise the response.

2

Receive a structured response

Mirai diagnoses your input, selects the appropriate response mode, and outputs a structured execution pathway — in seconds.

3

Review the execution paths

The comparison table and ranked paths give you the full picture. The recommendation is already made — review it, not reconstruct it.

4

Act on the CTA or escalate

Start a Free Technical Evaluation, schedule a consultation, or request human support — all from within the same conversation.

Mini Mode

Embedded on dei.so

Access Mirai directly within the DEISO website. Ideal for quick queries, service navigation, and initial engagement while browsing.

Ask Mirai →
Full Screen Mode

Dedicated Interface

Full-screen Mirai for complex, multi-dimensional sustainability challenges. No distractions. Full response architecture visible.

Open Full Screen →

The Intelligence Gateway
to DEISO's Ecosystem

Start with your sustainability challenge. Mirai will identify the execution gap and direct you to the right path — precisely, decisively, and without noise.

DEISO Contact & Quotation Inquiry

Request Context

Indicate whether your request is related to a real project or organizational need.

Request Details Guidance

Provide a concise and technically relevant description of your request to support accurate evaluation and quotation.

To improve clarity and response speed, include:

  • Product, system, or organizational context
  • Requested service (e.g., LCA, EPD, PCF, GHG, Scope 3)
  • Objective (e.g., compliance, reporting, decision-making)
  • Target market or standard (e.g., EU, EN 15804)
  • Timeline or deadline (if applicable)

If your request is brief or unclear, our team may follow up to request additional details to support accurate technical evaluation.

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Contact Info.

English Address:
Level 21 Shiodome Shibarikyu Building
1-2-3 Kaigan, Minato-ku
105-0022 Tokyo, Japan.

Japanese Address:
〒105-0022 東京都港区海岸1-2-3
汐留芝離宮ビルディング21階, 合同会社DEISO.

Phone (JP): 03-5403-6479 / 0488-72-6373
Phone (EN): 070-6969-7700
Fax: 03-5403-6475 / 0488-72-6373
Email: info@dei.so

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