Services

Four offers. One system.

We keep the portfolio narrow on purpose. Each offer maps to a stage of the same delivery system, and each hands over artifacts you own — whether or not the next stage happens with us.

AI Opportunity Diagnosis

A fixed-scope, fixed-fee assessment that tells you where AI will pay in your operation — and where it won’t.

Two to four weeks inside your organisation. We map where value sits, test what your data can honestly support, and return a ranked portfolio with a build, buy, wait, or do-not-build verdict for every candidate — including the ones we advise against. The diagnosis stands on its own: you can act on it with us, with someone else, or not at all.

Value map across your operation
Data-reality and feasibility assessment
Ranked opportunity portfolio with effort and risk
Written evaluation thresholds for the leading candidate
Executive readout you can take to the board

The standard entry point to working with LUNTA.

AI Systems Delivery

Agents, copilots, and knowledge systems engineered to production standard — not demo standard.

We design and build AI systems that survive contact with real operations: retrieval you can audit, actions you can govern, behaviour you can test. The default is to build inside your own tenant, on enterprise model tiers or on self-hosted open weights where residency, cost, or latency make that the better answer. Every system ships with the evaluation suite that judges it, because a system without its own tests is an opinion, not an asset.

Production system integrated with your platforms
Evaluation suite with agreed thresholds
Security review and access model
Monitoring, runbooks, and failure-mode documentation
Cost and latency profile at operating volume

Runs Pilot through Scale — every build is judged at the Pilot gate before it earns production.

AI Operating Model & Governance

The part most programmes skip: how your organisation runs AI after the consultants leave.

Technology is the smaller half of transformation. We build the operating model around the systems — named owners, working governance, adoption measured against targets, and a measurement discipline that keeps reporting honest long after go-live.

Governance and risk controls designed for routine use
Adoption programme with measured targets
Internal ownership and enablement plan
Value-measurement system against day-one baselines
Model and vendor strategy with exit options

Runs through Embed and Full Value — or as a standalone rescue for stalled programmes.

Fractional AI Delivery Lead

Senior delivery leadership inside your AI programme, part-time and accountable — the evidence discipline without a full engagement.

A standing seat in your programme, held by the same senior practitioner every week — never a rotating bench. The job is the discipline this site publishes, run from inside your organisation: evaluation thresholds put in writing before work advances, vendors and internal teams held to them, and your sponsor given an independent read on what the evidence actually says — including when it says stop. It is the smallest unit in which the delivery system can be bought.

Standing delivery review with written gate verdicts
Evaluation thresholds enforced across vendors and internal teams
Monthly sponsor readout on the programme’s evidence
Build, buy, or stop recommendations with reasons
A handover plan that ends the dependency on the seat

A monthly retainer, alongside any phase or on its own — for programmes that need the discipline before they need a build.

Not sure which applies? That’s what the diagnosis is for.

It is the standard entry point, scoped and priced as a complete piece of work in its own right.

Start a diagnosis See what a diagnosis produces