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dAIrector
AI experts that actually run the process

Turn any messy internal process into a board-ready decision.

dAIrector interviews your team, structures the work, and puts it in front of a board of AI experts who review it like the real thing. Business cases, compliance reviews, risk assessments, vendor intake, approvals: in, reviewed, and decision-ready.

Book a demo See how it works

Chat or voice intake. Expert review on every section. One polished export.

Business case intake
Step 3 of 9
AI

What problem does this initiative solve, and who feels it most today?

Field teams lose two hours a day reconciling spreadsheets across three systems.

AI

Got it. Let's quantify that. Roughly how many people, and what's a loaded hourly cost?

Financial Legal Commercial

The problem

Your biggest decisions are made on your worst documents.

Strategy doesn't fail in the boardroom. It fails in the six weeks before it, while a business case crawls between inboxes, a vendor review lives in someone's spreadsheet, and a risk assessment is a meeting nobody wrote up. Your most expensive people spend their days assembling and chasing instead of deciding, and the document that finally lands is late, inconsistent and impossible to compare. Every slow or sloppy decision is a deal missed, a bad bet funded, or a risk no one saw coming.

The status quo

  • Decisions crawl for weeks

    A single sign-off waits on five calendars to align. By the time it clears, the deal has moved or the moment has passed.

  • Your best people do clerical work

    Directors and VPs reconciling inputs and reformatting slides. The most expensive hours in the building, spent on plumbing.

  • Every output is a one-off

    A new template for every case. You can't compare two options, let alone trust the rigour behind either.

  • The flaw surfaces after you've funded it

    Without consistent review, the risk that sinks the project shows up once the money is already committed.

With dAIrector

  • Decisions in days, not weeks

    Intake and review happen the moment the work is ready. Weeks of scheduling collapse into a single pass.

  • Senior time back on the table

    AI does the legwork and the formatting. Your people spend their hours on judgement, not assembly.

  • One rigorous process, every time

    The same framework across the organisation. Comparable, reusable, and defensible end to end.

  • Nothing ships unreviewed

    Every case is checked by the board and approved by a human at the points that matter. No blind spots, no rubber stamps.

What the status quo costs you

Do the math on a single quarter.

Take a 1,500-person enterprise running roughly 250 high-stakes cases a year. Each one burns about 35 hours of senior time on intake, drafting, chasing reviewers and rework. dAIrector cuts that by three quarters, and the decision lands in days instead of weeks.

6 weeks 3 days
Average decision cycle
€1.2M
Senior time reclaimed per year
6,500 hrs
Returned to your best people
100%
Of cases reviewed and audit-ready

That is over a million euros of senior capacity unlocked every year, before you count the bad bets you no longer fund and the deals you stop losing to a slow yes.

Illustrative model for a 1,500-person enterprise running ~250 high-stakes cases a year at a loaded senior rate of ~€160/hour. Your numbers, scoped with you in the demo.

See it in action

A real workspace, not slideware.

This is the actual case view: every stage, every AI reviewer and every field in one place, with a human sign-off at the end. Click through the case fields.

Export PM

Business case

Enter the German market

Growth in our home market is flattening at about 6% a year, and our largest accounts are starting to ask why we can't serve them across Europe. Germany is the biggest untapped market in our segment, an estimated EUR 90M of addressable spend, yet we have no local entity, no commercial team and no go-to-market. Two well-funded competitors are already signing the logos we want, and every quarter we wait they entrench further while our cost of entry climbs. Doing nothing means conceding the segment's largest market by default.

Case definition journey

Concept & Strategic Fit

3 resolved

Problem definition, vision, strategic alignment and scope.

Business Advisor AI
Open

Analysis & Solutioning

2 resolved 1 pending

Market analysis, PESTLE context and options evaluation.

Privacy AI
Open

Functional Due Diligence

5 resolved 2 pending

Financials, roadmap, risks and success metrics.

Risk AI Finance AI Project Manager AI
Open

Recommendation & Sign-off

1 pending

Final executive summary and investment decision.

Awaiting your approval
Sign off

How it works

Four steps from rough idea to a decision someone can sign off.

  1. 01

    Intake interview

    An AI interviewer walks your team through every dimension of the case, by chat or voice. No blank-page paralysis, no missed sections. It asks the follow-ups a good analyst would.

  2. 02

    The board reviews

    Specialist AI experts read the whole thing the way a real board would: legal, financial, commercial, technical, operational. Each flags risks, gaps and weak assumptions against its own discipline.

  3. 03

    Refine in one place

    Every comment lands next to the paragraph it's about. Accept a suggestion and it folds into the document. Jump between sections without losing the thread.

  4. 04

    Decision-ready output

    Out comes an executive summary, an elevator pitch and the full case, ready to export. The version that goes to the actual decision-makers, written to convince.

The AI board

A panel of experts reads every case, not just a model that summarizes it.

Each reviewer has its own discipline, its own standards and its own reasons to push back. You get the scrutiny of a real review committee, in minutes instead of weeks.

Le

Legal

Contracts, liability, regulatory exposure

Flags the clause that would never survive procurement.

Fi

Financial

NPV, IRR, payback, cost assumptions

Pressure-tests the numbers before the CFO does.

Co

Commercial

Market, competitors, value proposition

Asks whether anyone actually wants this.

Te

Technical

Feasibility, architecture, delivery risk

Calls out the build that's twice the estimate.

Op

Operational

Rollout, resourcing, change impact

Checks who runs it on Monday morning.

Need a different lens? The board is configurable per process, so a compliance review and a vendor assessment can each convene the experts that matter.

Your way

Your experts. Your models. Your decisions.

dAIrector adapts to how your organisation actually works. Configure the AI, connect your own stack, and keep people in control of every call that matters.

Humans make the calls

The board advises; your people decide. dAIrector does the heavy lifting, then stops at the decision points you define and waits for a human to approve, reject or send it back. Nothing advances on the AI's say-so alone.

Build your own AI personas

Create experts that reflect your business: a reviewer who knows your pricing model, your risk appetite, your compliance line. Not a generic assistant, but one shaped to your organisation.

Train them on your knowledge and rules

Feed personas your policies, playbooks and past cases. They review against how your company actually operates and cite your rules, not the public internet.

Bring your own LLM provider

Connect your own model providers and keys. Run on the models you trust, keep usage under your own account, and swap providers without re-platforming.

AI accelerates the work. People stay accountable for the decision.

Use cases

One engine for every process that ends in a decision.

dAIrector started with business cases. The same intake-review-refine loop runs any structured internal process you'd otherwise drag through meetings and templates.

Business cases

Problem, options, market, financials, risk, roadmap. The full framework, interviewed out of you and reviewed before it reaches the steering committee.

Compliance reviews

Walk a policy, control or vendor through the checks your auditors expect, with a documented trail of what was assessed and why.

Risk assessments

Surface technical, financial and market risk systematically, with mitigations attached, instead of a workshop nobody writes up.

Vendor & procurement intake

Capture requirements, score options against a do-nothing baseline, and get a recommendation that survives challenge.

Project & change proposals

Scope, resourcing, timeline and impact, structured the same way every time so leadership can compare like with like.

Custom

Your internal process

If it has inputs to collect, experts who should weigh in, and a document at the end, dAIrector can run it. Define it once; reuse it forever.

The output

You don't get notes. You get the document.

Every session ends with the artefact the decision actually rests on: a tight executive summary, an elevator pitch, and the full case behind them. Reviewed, consistent and ready to forward.

  • Executive summary written to persuade, not to pad
  • Elevator pitch for the hallway version
  • Full case with every section and the board's sign-off
  • Export to the formats your organisation already uses
Board approved v3 - final

Executive summary

NPV

$2.4M

Payback

14 mo

IRR

31%

Reviewed by Lg Fi Cm Te Op

What's inside

The rigor of a committee, the speed of a tool.

Talk it through, or type it

Voice and video sessions with a real-time AI agent, or plain chat. Some people think out loud; the intake meets them where they are.

Structured, not freeform

Every process follows a defined set of fields and tasks, so two people filling in the same case produce comparable, complete work.

Review tied to the text

Expert feedback highlights the exact paragraph it concerns. No more reconciling a separate review document against the draft.

Suggestions you can accept

Fold a reviewer's fix straight into the body with a click. The document and the critique stay in sync.

Export that's ready to send

Executive summary, elevator pitch and full case in common formats. Built to be forwarded, not reformatted.

Reusable process templates

Define the fields, tasks and reviewers once. Every future case of that type starts from the same rigorous baseline.

FAQ

Questions, answered.

Still unsure? Book a demo and bring a real process.

What is dAIrector?

dAIrector is an AI platform that runs your structured internal processes end to end. AI experts interview your team, review the work the way a board would, and hand back a decision-ready document, for business cases, compliance reviews, risk assessments, vendor intake and approvals.

Is it only for business cases?

No. Business cases are the flagship use case, but the same intake, review and refine loop runs any structured internal process where you gather inputs, need expert review and have to produce a defensible output.

Does the AI make the decisions?

No. The AI board advises; your people decide. dAIrector does the heavy lifting, then stops at the decision points you define and waits for a human to approve, reject or send the work back. Nothing advances on the AI's say-so alone.

Can we use our own AI models and personas?

Yes. You can connect your own LLM providers and keys, build AI personas trained on your policies, playbooks and past cases, and configure which experts review each type of process.

How does dAIrector handle our data and compliance?

dAIrector runs on your own model providers and accounts where configured, and is built for enterprise controls such as SSO, role-based access and an auditable trail of what was reviewed and approved.

How do we get started?

Book a 30-minute demo and bring a real process. We take it through intake, the AI board review and a finished export, so you see exactly what dAIrector produces for the work you already do.

See dAIrector run one of your processes.

Bring a real case. In a 30-minute demo we'll take it through intake, the board review and a finished export.

Book a demo How it works