Once your team uses AI day to day, the next step is agents: automations that do whole tasks end to end - reading, deciding, updating systems and reporting back - with human approval where it matters.
Our own business runs on AI assistants and private agents. We deploy what we use every day.
Every rollout starts with permissions, testing and monitoring - so AI only sees what it should.
Business plans, local models and on-premise options keep your data out of other people's training sets.
We can coach your team to do it, or implement it quickly and support it for you.
Read, categorise and route incoming email, draft replies and flag what needs a person.
Pull numbers from your systems every morning and send a plain-English summary.
Move information between systems and fill the gaps automatically.
Chase quotes, renewals and missed calls on time, every time.
Agents get their own mailboxes, folders and accounts - never the keys to everything.
Anything that sends, pays or deletes waits for a yes from a person.
Every action is logged so you can see what ran, when and why.
Failures are caught and fixed, not discovered weeks later.
Agents can be reached by chat, email, Teams, Slack, WhatsApp or voice. We start you with ready-made workflow templates, then build focused agents for the objectives that matter most to your business.
Three ways to start safely with one solution, then the full AI Readiness assessment when you are ready to look at the whole business. Prices exclude VAT.
A one-off check of the system you want to connect AI to, with an executive summary report.
The Core assessment run continuously, with Secure Score monitoring and a full gap analysis report.
Whilst certainly not recommended, technically connecting AI is often simple. If standard connectors exist, we can deploy these for one of your systems (API or MCP) once your board has approved the access.
A full environment assessment and strategic engagement on how AI would best work for your business.
Connecting AI to your business systems has never been easier. Ready-made connectors, MCP servers and one-click integrations mean anyone in your team can link an AI tool to email, files, cloud storage or line-of-business apps in minutes.
That ease does nothing to reduce the cost or the data privacy risk. An AI tool connected without guardrails can read data it should never see, send it somewhere you have not approved, and run up cloud bills nobody signed off. The liability sits with your business, not with the AI vendor.
It only takes one prompt"I just asked AI to search the internet and download cat videos. I didn't know there were 20 million of them, and our Azure storage went up 1,000x overnight."
Is your board happy to pay the bill?
Before any AI connection goes live, your board should know what it can access, what it could cost and who carries the liability. AI Readiness Core checks exactly that for the system you want to connect, including a cost guardrail review.
Plain-English guides for business owners. Free to download and share, no sign-up.
Why connecting AI and agents to Microsoft 365, SaaS or servers is a high-risk change, who carries the risk, a pre-connection checklist and the safe route to production.
What AI-built apps get wrong, the research behind it, GDPR, a go-live checklist and how to get your app production-ready.
No. Agents can run in the cloud, but for sensitive data we recommend running the workflow engine on-premise alongside private AI.
Scoped access, approval steps for any irreversible action, and logging of every run. Agents start in draft mode until you trust them.
Tell us what you want AI to do for you and we will show you the safest, quickest way to get there - no obligation.
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