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AI Implementation Consulting
Decide where AI belongs,before you build
We help companies decide where AI will pay for itself, by examining real workflows, ranking the candidates, defining a pilot with measurable success criteria and planning how to build it.
What we build
01Workflow assessment
02Pilot definition
03Delivery roadmap
Most AI projects fail at the choice of problem, long before any model is involved, so the first deliverable is a decision and not a demo.
Deciding where AI belongs in your business
- 01Workflow assessment
- 02Pilot definition
- 03Delivery roadmap
AI implementation consulting is a short, structured engagement that ends in decisions you can act on. We study how work is done today, score candidate workflows for value, data readiness and risk, recommend which to automate first and which to leave alone, and describe a pilot in enough detail to estimate and build.
It suits leadership teams under pressure to do something with AI and unsure where to begin, and teams whose earlier experiments produced interest and no result. Our advice comes from engineers who build these systems, so it includes what things cost to run and where they tend to break. Sometimes the best recommendation is ordinary automation without a model.
Talk to us about your projectCapabilities, End to End
What It Looks Like When It Ships
From Kickoff to Launch
We spend time with the teams involved, collect examples of the tasks and documents they handle and gather whatever figures exist on volume, time spent and mistakes.
Each workflow is assessed against the same criteria and discussed with its owner, so the ranking reflects operational reality and is not an outsider's guess at what looks impressive.
For the strongest candidate we run a quick feasibility check on real samples, which shows whether current models can do the task and where a person must stay involved.
We write the pilot brief, agree the measures of success with the sponsor and present the plan, estimates and risks to the people who will decide whether to proceed.
Built for Teams Like Yours
What buyers ask before they start
If yours is not here, ask us directly. The first conversation is free and useful whether or not we work together.
Book a callA written assessment of the workflows examined, a ranked list of use cases with the scoring behind it, findings on data readiness and risk, a recommendation to build, buy or wait for each, and a pilot brief for the leading candidate with success criteria and estimates. Everything is presented to your decision makers and written so that any capable supplier could act on it.
We look for work that is frequent, follows a recognizable pattern and tolerates review. Value is weighed against data readiness, the cost of a mistake, the effort to connect systems and what the solution would cost to run. Tasks that need exact calculation or carry no room for error usually suit conventional software. The scoring is shown openly so you can challenge it.
No. Finding out what state the data is in forms part of the work. Many useful applications run on documents and records exactly as they are today. Where a use case needs cleaner or better organized data, we say what is missing and what it would take to fix, and that effort is counted in the ranking instead of being discovered halfway through a build.
Only where building is the right answer. For some use cases a product you already license does the job, and we say so. For others, the honest advice is to wait or to fix a process first. The deliverables are written so that any capable team could act on them. If you ask us to build the pilot afterwards, the brief becomes our starting point.
By measuring the present first. We record how long the task takes today, how often it goes wrong and what it costs. The pilot then has targets against that baseline, a defined test set, a named person who judges quality and conditions under which it stops. Criteria agreed before the build prevent a pilot from being declared a success simply because it runs.
