Does Aieval automatically block initiatives?

No. Aieval recommends, qualifies, and organizes — the final decision is always human. Scoring is opinionated, but no status changes without a reviewer's action.

Does it replace the Privacy, Security, or Architecture teams?

No. Aieval hands those teams an already structured initiative, with gaps and risks pre-identified, so the human review is focused and fast.

Does it work without integration with Jira, ServiceNow, or Active Directory?

Yes. Aieval runs as a single workspace, with no required external integrations. Integrations are an evolution, not a prerequisite.

How does the AI arrive at the score?

Four dimensions — Business Value, AI Quality, Security, Privacy — are computed by heuristics over the discovery answers. Everything is explainable and auditable; nothing is a black box.

Is it a runtime tool or just intake?

Aieval Digital is the intake, evaluation, and governance side of initiatives. Observability, FinOps, and runtime enforcement are intentionally out of scope.

— Enterprise AI governance

Your AI initiatives
with clear outcomes — organization without becoming a bottleneck.

A shared framework for intake, evaluation, and governance of AI initiatives — empowering teams to ship effective solutions without turning into a committee.

How it works

Workflow statuses

Intake templates

Score dimensions

Case

INI-001 · HR

HR assistant for benefits questions

84Overall

Business82

AI Quality78

Security88

Privacy90

AI recommendation

Well-scoped use case, internal-only and low risk. RAG is the right choice — no need for fine-tuning. Recommended to move to PoC with 100 users.

Identified risks

Stale answers if policies change without reindexing
Possible hallucination on out-of-scope questions

Recommendations

Define a weekly knowledge base reindexing cadence
Add an 'I don't know' guardrail when confidence < 0.6

— Reality in large organizations

AI is happening across your company. In a fragmented way.

Initiatives appear everywhere — HR, Marketing, Operations, Customer Service. That's not a problem. It's the nature of a large organization. The problem is what happens around them.

Vendors hired directly

Teams sign with vendors without going through architecture or security.

Duplicate solutions

Three teams build the same chatbot — none of them knowing about each other.

AI for simple problems

Generative models where a business rule would solve it more predictably.

No minimum criteria

Each team invents its own checklist — or has none at all.

Superficial evaluations

PoC approved on demo excitement, with no risk or cost analysis.

Privacy and security risk

PII flowing to vendors that nobody mapped.

Unpredictable costs

Token bill explodes in the second month — and no one saw it coming.

Lack of metrics

Initiative in production, but no clear indicator of what it delivers.

No organizational memory

Same decisions redone every quarter, in silos.

— The bill comes due

The price of fragmentation.

Low consistencyWasteLock-inFragile PoCsShadow AIUnsustainable initiatives

It's not a lack of talent. It's a lack of a shared framework.

— How it works

Four stages. One single flow.

From the raw idea to a formal recommendation, with audit-ready history and an always-human decision.

01 · Intake

Structured capture

Teams register the idea in a guided form — or in chat mode, with questions that adapt to the initiative type.

02 · Discovery

Wizard by template

Seven templates (RAG, agentic, customer-facing, vendor eval…) ask the right questions for each category.

03 · Evaluation

Opinionated score

Four dimensions — Business, AI Quality, Security, Privacy — with a direct recommendation and identified gaps.

04 · Governance

Auditable workflow

Nine statuses, named reviewers, comments, and decisions — all recorded on a timeline.

— Product pillars

A lightweight framework — not another ticket portal.

It's not another approval portal. It's organizational memory + technical judgment, at the right moment in the flow.

Structured intake

Replaces email and spreadsheets with a single entry point — without becoming yet another ticket portal.

8 initiatives in the seed cover everything from HR to treasury, all in the same format.

Template-based discovery

Seven categories with their own questions and weights. The team doesn't invent the questionnaire — they follow the right template.

A RAG initiative doesn't answer the same questions as an autonomous agent.

Opinionated evaluation

Aieval isn't neutral. When AI is unnecessary, it says so. When the vendor is exposed, it flags it.

The public chatbot with PII gets score 43 with 4 detailed critical gaps.

Governance workflow

Statuses, reviewers, opinions, and decisions organized in a single history — for when audit asks.

Nine statuses from Draft to Approved for Pilot, with no automatic blocks.

— See the product

AI gives an opinion.
You decide.

Three real initiatives from our seed, three distinct evaluations from the same engine. Toggle between cases and see how the recommendation changes — without ever blocking the requesting team.

Case

INI-001 · HR

HR assistant for benefits questions

84Overall

Business82

AI Quality78

Security88

Privacy90

AI recommendation

Well-scoped use case, internal-only and low risk. RAG is the right choice — no need for fine-tuning. Recommended to move to PoC with 100 users.

Identified risks

Stale answers if policies change without reindexing
Possible hallucination on out-of-scope questions

Recommendations

Define a weekly knowledge base reindexing cadence
Add an 'I don't know' guardrail when confidence < 0.6

— Who it's for

A shared language between those who propose and those who approve.

Requesters

HR, Marketing, Operations, Service

Submit initiatives clearly, know what's missing before the meeting with the technical area, and receive structured feedback instead of 'needs review'.

Reviewers

Architecture, Security, Privacy

Stop reinventing checklists. See the initiative pre-analyzed, with gaps, risks, and duplicates highlighted — and decide with context.

Leadership

AI Office, CIO, CDO

Get a single, comparable, auditable portfolio. Know how many initiatives are at risk, in review, or approved — in one dashboard.

— Before and after

What changes when Aieval enters the flow.

DimensionWithout AievalWith Aieval

Organizational memoryScattered across emails, decks, and abandoned Confluences.Single, searchable portfolio with full history per initiative.

Time to decisionWeeks of ping-pong between teams to reach a recommendation.Opinionated evaluation in seconds; humans decide with context ready.

Duplicate initiativesThree teams build the same chatbot, without knowing each other.Duplicates flagged at submission time.

Privacy riskDiscovered during audit — when it's already in production.Flagged at intake, before any integration is built.

Role of AIBlack box used where a simple rule would solve it.Explicit recommendation of when NOT to use AI, with rationale.

Final decisionImplicit, with no trace of who approved what.Logged on the timeline, with author, date, and formal opinion.

"The first time we managed to look at the whole AI portfolio of the company on a single screen. It changed the conversation with the board."

Head of AI Office · national retail

"The opinionated recommendation is what was missing. We used to get 'ok, go ahead' — now we get 'look, AI isn't justified here'."

Director of Architecture · financial services

"For the first time Privacy joined the flow at the right moment, not three months later."

DPO · healthcare

— FAQ

Your AI initiativeswith clear outcomes — organization without becoming a bottleneck.