Most AI programmes stall between the pilot and the general ledger. We build the roadmap, the business case and the operating model together — so the first use case ships in weeks and the hundredth ships on the same rails.
Your board has approved AI. Your engineers have built demos. Somewhere between those two facts sits the question nobody has answered: which use cases actually pay, in what order, on whose data, under whose accountability. That is the question we are hired to close.
Enterprise AI rarely fails on model quality. It fails on sequencing, ownership and readiness — a use case chosen for its demo value rather than its margin impact, built on data nobody has certified, handed to a business unit that was never staffed to run it. The result is a portfolio of impressive pilots and a flat cost curve.
Adroitent's AI Strategy & Consulting practice replaces that pattern with a funded, sequenced, governed plan — grounded in what your data can actually support today and what your operating model can absorb next quarter.
A structured sweep across functions and P&L lines to surface candidate use cases, sized by value at stake, data readiness, regulatory exposure and time-to-first-value. Output: a scored, ranked portfolio — not a wish list.
Bottom-up economics for each prioritized use case: build cost, run cost, inference spend, expected margin or cycle-time impact, and the break-even month. Written for a CFO, defensible in a budget review.
An honest read on whether your data estate can carry the roadmap — lineage, quality, access control, platform fit — with the remediation sequence costed and slotted before dependent use cases.
Who decides, who builds, who runs, who signs off. Roles, funding routes, intake and stage-gates, and the Centre of Excellence design that keeps the hundredth use case as cheap as the tenth.
Policy scaffolding aligned to ISO/IEC 42001 and the EU AI Act, mapped to your existing risk taxonomy so AI risk lands in a register the board already reads.
Named work streams, staffed teams, milestone dates and the exact scope of the first production use case — with our delivery pods ready to build it.
Executive alignment on ambition, constraints and definition of value. Baseline of current AI and data spend.
You leave withAgreed value thesis and guardrails
Function-by-function use case discovery, data lineage sampling, platform and skills assessment.
You leave withScored use case portfolio
Value-versus-readiness scoring, investment modelling, risk classification, sequencing debate with sponsors.
You leave withFunded roadmap and business case
Target architecture, operating model, governance baseline, CoE and talent plan.
You leave withBlueprint and RACI
Team stand-up, backlog, environment access, sprint zero on use case one.
You leave withA build in flight, not a deck
Compressed formats are available. Where a client already has a use case backlog, we run a four-week Prioritise-and-Mobilise sprint and go straight to build.
Document-heavy operations — claims, contracts, clinical records, invoices — where extraction and reasoning collapse cycle time immediately.
Service desks and support estates, where agentic triage and resolution cut cost per ticket without a change programme.
Engineering productivity, where AI-assisted development and testing lift throughput across an existing delivery estate.
Data and platform economics, where FinOps discipline on Databricks and cloud workloads typically returns 20–40% of spend.
Regulated reporting and quality functions, where the constraint is evidence and traceability rather than model accuracy.
Our consultants sit alongside the pods that deliver. The roadmap is written by people who will be held to it — which is why it is costed conservatively and sequenced honestly.
Two decades of enterprise delivery across healthcare, life sciences, financial services and the public sector. The architecture recommendations come from systems we have run, not slideware.
DROITai, Devailey and TalentAlign shorten the distance from strategy to working software. Where a product accelerates your roadmap we will say so; where it does not, we will not sell it to you.
ISO 42001-aligned controls are designed into the roadmap from week one, so your first production use case is auditable on the day it ships.
Yes. Our two-week diagnostic reviews an existing roadmap against data readiness, value modelling, regulatory classification and delivery capacity, and returns a gap list with remediation options.
No. The roadmap, business case and operating model are yours to execute with any partner. Most clients ask us to build the first one or two use cases because the mobilisation cost is already sunk.
We say so, in writing, with the numbers. A killed use case discovered in week five is cheaper than one discovered in month eighteen.
Talk to an Adroitent AI lead. We will come with a point of view on your estate, not a generic capability deck.
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