Engagement model 04

AI Consulting & Audit

An AI readiness assessment, time boxed, that reviews your data, your systems and your candidate use cases, then hands back a costed and sequenced roadmap.

3 to 6 weeks, fixed
Costed roadmap you keep
Fixed fee, two instalments

01 What you get

A decision, not a deck

The deliverable is something you can take to a board and act on, including the recommendation not to build.

Review

Weeks 1 to 2

  • Data inventory: what you hold, and whether it is usable
  • Systems and integration review
  • Workshops with the teams who would use it
  • Candidate use cases, gathered and written down

Assessment

Weeks 3 to 4

  • Each use case scored on value, effort and risk
  • Build, buy or do-nothing assessed for each
  • Compliance and data-residency constraints named
  • A proof of concept where the answer is genuinely unclear

The roadmap

Final week

  • A sequenced plan with costs against each step
  • Risk ranking, including the ones we would not take
  • Reference architecture and stack recommendation
  • A readout with your leadership, and the document itself

If the honest answer is that AI is not worth it here, that is what the roadmap says. You still keep the document.

02 Commercials

One fee, one deliverable

Priced and time-boxed before it starts, so an audit cannot quietly become a project.

Term
3 to 6 weeks Scoped and dated before the contract is signed.
Billing
Two instalments Half on start, half on delivery of the roadmap.
Team
Principal consultant plus an ML engineer Named before you sign.
Who owns scope
We do Agreed up front and not extended mid-engagement.
Credit
Deducted from a build The full fee comes off a fixed-scope build started within 90 days.
Exit
Ends on delivery The roadmap is yours whatever you do next, and with whoever.

Where a proof of concept is needed, cloud and model costs are billed at cost and agreed in advance.

03 Fit check

Right for you if…

This is the model to buy when you are not yet sure there is anything worth building.

Pick this when

  • There is pressure to do something with AI and no agreed target.
  • You need a costed case before anyone will fund a build.
  • The data situation is genuinely unclear.
  • Several use cases are competing and nobody has ranked them.

Pick something else when

  • The use case is already decided and validated.
  • You want a working product at the end, not a plan.
  • You need engineers on an existing build right now.
  • You want the roadmap to endorse a decision already made.

Already know what to build? See Fixed-Scope Delivery

04 Proof

Where the audit led

Roadmaps that turned into products, and the scopes they saved.

Convert AI project

AI Automation

AI-Powered Content Automation Platform

An AI content engine that turns sales and strategy calls into ready-to-post content, matched to the brand's own voice and scheduled straight to LinkedIn.

30%
Cost reduction
50%
Faster decisions
90%
Prediction accuracy

Construction Management

Real-Time Construction Coordination, From HQ to Field

A construction coordination platform for multi site work, replacing spreadsheets and scattered email with tasks, schedules and on site progress synced in real time.

2 Hrs
Time saved daily
30%
Fewer errors
4X
Reporting speed

06 Compare

How this compares

The other three models, on the same questions.

How this compares
Fixed-Scope Delivery Most Chosen Dedicated Remote Team IT Staff Augmentation
Best for A defined product with a launch date A long-running product with an evolving roadmap An in-house team that needs more hands
Term 8 to 16 weeks, milestone-based Rolling, three-month minimum Rolling, one-month minimum
Who owns scope We do, fixed after discovery You do, we advise You do, entirely
Team A full pod, staffed by us Cross-functional pod plus a delivery lead Individual engineers, inside your process
Billing Fixed price per milestone Monthly, per seat Weekly or monthly, per engineer
Ramp-up 2 to 4 week discovery first 3 to 4 weeks 2 weeks
Exit Documented handover at the final milestone 30 days' notice 2 weeks' notice

07 Questions

Before you decide

What you keep, and what happens next.

Yes, and most long-running clients do. A fixed-scope build that turns into an ongoing product usually becomes a dedicated team at handover, same people, new commercial terms. We re-paper the engagement; you do not re-onboard anyone.

You do, in every model, from the first commit. The repository is yours, hosted in your organisation where you want it there, and the licence transfer is in the contract rather than an invoice at the end.

Discovery exists to find that out before the price is fixed, which is why it is billed separately. If something material surfaces mid-build we price the change against the remaining milestones and you decide, we do not absorb it quietly, and we do not stop work while you think about it.

An audit or a two-week discovery is the usual way in. It is a fixed fee, it produces something you keep whatever you do next, and nothing about it obliges you to carry on with us.

Notice is two weeks for staff augmentation, thirty days for a dedicated team, and none for fixed scope work, which simply ends when the scope is delivered. Offboarding includes a handover of code, documentation and access, so nothing you rely on depends on a particular person still being reachable.

08 Start

Book an audit

Tell us which systems and which use cases are on the table. We will scope the audit and price it before you commit.

  • 2451 West Grapevine Mills Circle, Grapevine, TX 76051 · USA
  • hello@kodertal.com
  • We reply within one business day.

We never share your details. One reply, from a person.