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AI strategy that starts with your business targets.

Before any model or tool: which outcomes AI should move, which processes feed them, what it will cost to run, and in what order to do it.

What it does for a business

Prioritised AI roadmap

Every candidate process scored on value, effort, data readiness and risk, then sequenced.

Private vs cloud decision

Which data may go where, decided once, before the first build.

Cost model

Running cost per task and per month, modelled before you commit.

ROI and productivity measurement

Baselines for each process so every gain can be shown to the board.

Who it's for

  • Founders and owners deciding where to invest first
  • Leadership teams that need one plan every department follows
  • Businesses that tried AI tools and saw no change in the numbers

How we keep it safe

Private and local first for critical and sensitive data. Partnered cloud models only when a task needs them, behind a policy gate, with audit logs and monitoring you can see.

Technology stack

What we use for AI strategy, and what each piece is for.

Offer

MVP in one week

A working AI product in your users' hands in seven days, built on our proven components.

Offer

Free MVP for startups

No-obligation free MVP for startups. Scope agreed in the free consultation; you keep it either way.

Offer

Free fix-up for AI-built apps

Built your app with AI coding tools but it isn't secure or won't scale? We review it free and fix the critical security and scaling issues free.

Assessment
AI

AI Readiness Score

Five-dimension scoring of strategy, data, systems, people, governance

Pr

Process mapping

BPMN-style maps of the workflows AI will touch

Va

Value model

Baseline hours, cycle time and cost per process

Architecture
Co

Context layer design

Which sources, which permissions, which retrieval

Mo

Model portfolio

Private, open and frontier models matched to tasks

Co

Cost model

Tokens, hosting and licences per task and per month

Governance
AI

AI usage policy

What may go into which tool, and who approves

IS

ISO-certified process

Defined steps, reviews and records

Me

Measurement plan

Dashboards and checkpoints for the 10× target

How we deliver it

Typical phases and timelines; your plan is agreed after the free consultation.

  1. 1

    Free 2-hour session

    Objectives and one real process

    Day 1
  2. 2

    Readiness assessment

    All stakeholders, systems and data reviewed

    1–2 weeks
  3. 3

    Roadmap and blueprint

    Prioritised plan, architecture, cost and ROI model

    1–2 weeks
  4. 4

    First process live

    Implemented, trained and measured against baseline

    4–8 weeks

Real examples

From products we built and run, and engagements we measured.

Real example

A growing HR-tech company

Wanted to scale screening without hiring recruiters. The strategy work identified first-round phone screens as 60% of recruiter time; the voice interviewer that followed ran 8,420 interviews in its first quarter.

See AI Interviewer Pro
Real example

An Odoo ERP customer

Instead of a generic AI pilot, the roadmap targeted quotation drafting first; the worked example cut each quotation from 20 minutes to 2.

See Agnidoot

Under the hood

The technical detail, for your engineers.

How we assess readiness

Five dimensions (strategy, data, systems, people, governance) scored per process, the same model as our free AI Readiness Score, deepened with interviews and system access.

How we size value

Baseline hours, cycle time or throughput per process, multiplied by volume and cost of time; a 10× target is only set where the baseline and data support it.

How we choose the architecture

Context layer before model choice; private or local models by default for sensitive data; frontier models through partner agreements with a policy gate; model routing to control cost.

What you receive

A written roadmap, architecture blueprint, cost model and measurement plan under our ISO-certified process.

Questions we're asked

Do we need a data team first?

No. We work with the systems and people you have and tell you exactly what, if anything, needs adding.

Will you recommend tools you don't sell?

Yes. Recommendations are independent; if an off-the-shelf tool wins, we say so.

How is ROI measured?

Against a baseline we record before anything changes, reported at agreed checkpoints.

Can the strategy stay private?

Yes. The roadmap and every document produced stay yours, under NDA.

How long does it take to get a strategy?

A first view in the free two-hour session; a full roadmap and blueprint in two to four weeks.

Who from our side needs to be involved?

The owner or leadership sponsor, and the people who run the processes in scope.

Will the strategy lock us into IndaPoint?

No. The roadmap is written so any competent team, including yours, can deliver it.

Can you help us write an AI usage policy?

Yes, it's part of the governance work: what may go into which tool, and who approves.

Is our data used to train AI models?

No. We use private models or enterprise agreements that forbid training on your data.

How do we get started?

Book the free two-hour consultation. We look at one real workflow and tell you whether this technology fits.

Is there a guarantee?

Yes. Engagements we take on carry our 10× productivity guarantee on the agreed workflow, or the fee comes back.

Products built with AI strategy

Other technology

Where would AI strategy help your business?

Two free hours on a real workflow. We'll tell you whether it fits, and what it would take.

Book the free consultation