AI Consulting Services That Go From Strategy to Working AI Agents

AI consulting for small and mid-size businesses

Large consultancies are built for multi-year enterprise programmes. Most small and mid-size companies need something different: a clear answer on where AI will save time or win revenue this year, and a partner who can build it without a six-figure discovery phase.

Our AI consulting for small business starts with a short discovery call and one or two high-value use cases, usually a customer support agent, an AI sales agent or a back-office automation. You see results from a working pilot before committing to a wider AI roadmap, and the same team that advised you builds and supports the solution.

• Use cases scored by time saved, revenue impact and implementation effort
• A clear build-vs-buy recommendation for each use case
• Budget-sized pilots that prove value in weeks, not quarters
• Your data stays yours, with a choice of AI models and hosting

Enterprise AI consulting: governance, security and scale

For larger organisations, enterprise AI consulting adds the controls that let AI agents work safely across departments: role-based access, data isolation, audit trails, approval steps for sensitive actions and monitoring of model quality and cost.

We help IT, security and business leaders agree on an AI operating model (which teams own which agents, how new use cases are approved and how results are measured) so AI adoption scales beyond a single pilot.

Learn more: Enterprise AI agents and agentic AI solutions

A 90-day AI strategy and implementation plan

Our AI strategy consulting is tied to a concrete delivery plan, so strategy turns into working software. A typical first engagement runs about 90 days:

• Weeks 1–2, discovery and assessment: stakeholder interviews, process mapping, data and system readiness review, and a scored list of AI use cases.
• Weeks 3–4, roadmap and design: the chosen pilot is designed in detail, with success metrics, integrations, guardrails and a costed plan.
• Weeks 5–10, pilot build: our engineers build the AI agent on your data, connect it to your systems and test it with real users.
• Weeks 11–13, measure and scale: results are measured against the agreed KPIs and the roadmap is updated for the next use cases and teams.

What you get from an AI readiness assessment

Many AI projects stall because the data or systems an agent needs are not ready. Our AI readiness assessment checks this before you invest in a build. It covers where your knowledge lives (documents, help centres, databases, CRMs), how clean and current it is, which systems expose APIs, and what security and compliance rules apply.

You receive a readiness report with a clear list of what an AI agent can safely access today, what needs to be fixed first and how long that will take.

AI integration consulting: making AI work with your existing systems

An AI agent is only as useful as the systems it can read from and act on. Our AI integration consulting designs how language models connect to your CRM, ERP, helpdesk, calendars, databases and messaging channels, including authentication, data flows, error handling and what the agent is and is not allowed to change.

Because we also build and run these integrations on our own platform, the architecture we recommend is one we have already implemented, not a theoretical diagram.

Learn more: Custom AI development services · AI workflow automation