AI Consulting & Strategy
Relayworks AI runs a two-week AI Opportunity Sprint that maps a business function, ranks its processes by automation value, models the return with your real numbers, and ends with a working prototype of the highest-value use case. Fixed fee, agreed before we start, and credited against a subsequent build.
What this solves
Most AI strategy work ends in a slide deck that nobody can act on. The recommendations are directionally true and operationally useless: no cost model, no feasibility assessment, no evidence that the thing can be built with the data that actually exists.
What is included
- Workflow mapping
- We sit with the people doing the work and document what actually happens — not what the process diagram says happens.
- Opportunity ranking
- Every candidate process scored on value, feasibility, data readiness and risk. You get an ordered list, not a wish list.
- ROI model
- Built from your volumes, your costs and current inference pricing. Including the cases where the answer is "this is not worth automating."
- Data & systems audit
- What data exists, where it lives, what state it is in, and what it would take to make it usable.
- Working prototype
- The top-ranked use case, built for real, running against real data. This is what separates a Sprint from a consulting engagement.
- Build plan
- Scope, architecture, timeline and fixed price for production — so the next decision is easy.
What working with us looks like
| Detail | |
|---|---|
| Typical duration | Two weeks |
| Commercials | Fixed scope and a fixed number, agreed before work starts. No hourly billing. |
| Team | Senior-led. The people who scope the work do the work. |
| Code ownership | Yours outright, including the evaluation suite and infrastructure definitions |
| Evaluation | A labelled test set from your real cases, with thresholds agreed before build |
| After launch | Defect warranty, then optional managed operations |
AI Consulting & Strategy
Then we say so, and we tell you why. That is a valid and valuable outcome — it saves you a six-figure build. It also happens more often than the industry admits: roughly one in four processes we assess is better fixed with a rules engine, a database index or a process change than with a model.
No. Assessing the state of your data is part of the sprint. Most companies substantially over- or under-estimate how ready their data is, and it is far cheaper to find out in two weeks than six months into a build.
One decision-maker, and two to four people who actually do the work being examined. Roughly six to eight hours of their time across the two weeks. Anything more and we are slowing you down.
Other services
AI Agent Development
Agents that take real actions in real systems — with tool access, guardrails, escalation paths and an evaluation suite that proves they work.
Process automationAI Process Automation
Automating the document-heavy, repetitive, judgement-light work that consumes your team — with AI where it earns its place and plain code where it does not.
LLM & RAG integrationLLM & RAG Integration
Making your own data usable by a language model — retrieval that returns the right passage, answers grounded in sources, and measured accuracy.
Managed AIManaged AI Operations
Someone accountable for your AI system after launch — monitoring, evaluation, model migrations, cost control and a monthly report against the metric.
Let’s find out what AI can actually do in your business.
A 30-minute call. We will tell you honestly whether there is a case worth building — and if there is not, we will say so.