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WHAT WE DO

Two ways to start.

Two problems we can investigate and solve.

OFFER H1

Get an AI feature ready for real users.

Your team has an AI feature or prototype. Quality is inconsistent, operating costs are unclear, or the path to release keeps expanding. We help define the release criteria, find the failure modes, and deliver a scoped path to a dependable release.

WHO IT IS FOR

CTO, VP Engineering, or product/engineering lead with an existing product, an accountable internal owner, and a specific release obstacle.

An AI developer vacancy is a research signal. It does not establish any of these conditions.

STARTING SCOPE

AI feature assessment - Provisional planning envelope of five to ten working days after required access and samples are ready, to be validated against the first engagements.

YOU RECEIVE

  • Representative evaluation set
  • Failure analysis
  • Latency and cost baseline
  • Risk and dependency map
  • A scoped release plan

A narrow technical spike is included only when it answers a defined uncertainty.

NEXT DECISION

A fixed-scope pilot or milestone-based release engagement. Acceptance could include agreed task success, unsupported-answer frequency, human escalation, permission handling, latency, and cost per successful task. Numbers are negotiated from the actual use case.

NOT A FIT

  • No product or workflow owner
  • No usable access or evaluation examples
  • A demand for an unrestricted autonomous system with no review process
  • A buyer who only needs an employee and does not want external delivery
OFFER H2

Spend less time moving data and preparing answers.

Your team repeats the same exports, reconciliations, and reporting steps. We map one workflow, measure the effort and errors, and test whether better integration, automation, or AI can improve it.

WHO IT IS FOR

Operations, finance, analytics, or data leader with a recurring workflow and a budget owner who values a measurable improvement.

Start with firms whose workflows we can access and understand through existing relationships. Do not prematurely assert an industry specialisation.

STARTING SCOPE

Workflow opportunity assessment - The same provisional five-to-ten working day planning envelope.

YOU RECEIVE

  • Workflow map
  • Baseline effort and error costs
  • Sample data-quality review
  • Options analysis
  • An implementation proposal, or a recommendation not to proceed

Ordinary integration may be the best solution. AI is an implementation choice, not the goal.

NEXT DECISION

Automate one workflow with a named operator, exception handling, review requirements, and an agreed measure of benefit. Distinguish hours freed, capacity used elsewhere, and actual cash savings.

NOT A FIT

  • No recurring workflow that anyone owns
  • No access to the systems the workflow touches
  • A required outcome fixed before the baseline is measured

SUPPORTING CAPABILITIES

Diagnostic variants of the two offers above, used to make a conversation concrete. They are not separately purchasable services.

  • H2 RANK 01

    Operations reporting and workflow automation

  • H1 RANK 02

    AI feature readiness, evaluation and governance

  • H1 RANK 03

    Grounded knowledge assistant for internal teams

  • H2 RANK 04

    Market, product and commercial analytics

  • H1 RANK 05

    Data access, governance and permission-aware AI foundations

  • H1 RANK 06

    Service operations and customer-support workflow agents

  • H1 RANK 07

    Risk and compliance context review

  • H1 RANK 08

    Document review, findings and dates-to-confirm

  • H1 RANK 09

    Model/provider selection and evaluation infrastructure