Custom agents and workflow automation, plus Microsoft Copilot rollouts, delivered with the boring bits done. Data hygiene, governance, training, measurement. The reasons most AI pilots stall, handled.
Not because the tech does not work. Because the data is messy, the policy is missing, the licences are wrong, or the team was never shown what to type. We have seen the pattern. Every time.
We run AI rollouts like a proper programme. Readiness assessment, data hygiene, governed pilots, measurement, training, and an operating rhythm afterwards. You end up with hours back, not a cancelled subscription.
Automation and AI done properly is hours back per week, not a pretty demo. We handle governance, data readiness, rollout and adoption so it actually sticks.
Finance hit 74% weekly active. Avg 6.4 hours saved per user. No data-leak flags.
Pick one, or stack them. Most clients start with a readiness review and a first automation.
A proper look at your tenant, your data estate and your risk appetite. We tell you what you can safely switch on this quarter, and what needs work first.
Licence planning, SharePoint data hygiene, pilot groups, measurement, and the change comms that actually get adoption past the 20 percent cliff.
Anthropic Claude deployed against your knowledge bases with proper access controls. For when Copilot is not the right shape for the job.
Agents that raise tickets, draft quotes, triage inboxes, reconcile invoices. Built on Power Automate, n8n or custom, governed from day one.
Acceptable use policy, data classification, audit logging, DLP, and a named owner. AI that passes your auditor the first time.
Short sessions by role. Prompt libraries. Internal champions. The difference between paying for a Copilot seat and getting work done with it.
Adoption is a behaviour change project. Treat it like one and it lands.
Two weeks. Tenant review, data estate audit, risk register, licence map, a prioritised backlog of use cases.
Four to six weeks. Governed pilot group. Measured adoption, measured time-saved. Early wins, then the harder cases.
Wider deployment with proper change comms, training, and a prompt library. Weekly stand-ups until stable.
Usage reporting, quarterly policy review, new use cases added in batches. AI as a capability, not a one-off project.
Probably not quite. The common blockers are oversharing in SharePoint, missing sensitivity labels, and a sprawl of duplicated documents. We find them in a two-week readiness review and give you a remediation plan before a single Copilot licence is bought.
Both, usually. Copilot is the right answer for anything tightly coupled to Word, Excel, Teams and Outlook. Claude tends to win for longer-form reasoning, custom agents against your own data, and anywhere you want tighter control of the model and the prompts.
A combination of an acceptable use policy, Purview DLP rules, and giving them a sanctioned alternative that is actually good. Banning tools does not work. Providing a safe, fast, well-trained option does.
Month one: readiness and policy. Month two to three: pilot with 20 to 40 users on two or three use cases. Month four to six: wider rollout and a first custom agent. Month seven onwards: quarterly batches of new use cases as the business finds them.
Yes. We build on Anthropic Claude or Azure OpenAI, with retrieval against your SharePoint, file shares or apps, proper auth, proper logging, and a decent UI. Scoped, priced per agent, delivered as a project.
It changes the evidence trail, not the outcome. Financial services, healthcare and legal clients all run Copilot and custom agents with us. We handle the DPIA, the audit logs, and the retention policy up front.
Two weeks, fixed fee, and a plan you can take to your board. Whether we do the rollout or not, you will save yourself a false start.