Be Agentic. Don’t just say you are.

We help technical consultancies, IT service providers and MSPs move from using AI tools to running on AI-enabled processes that your own people run, with a measured result behind each one.

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There’s a difference between selling AI and running your business with it.

Most technical service businesses have rolled out Copilot or something like it. People experiment. Some already sell AI to customers. Few can name a process that runs differently because of it.

The gap is rarely skill. It is time, direction and a repeatable way to get from a good idea to a governed workflow that pays for itself. That is the work we do.

How we work

Where it shows.

The same problems come up in almost every technical service business we talk to. They are commercial problems first.

  • Margin pressure

    Delivery and operational costs keep rising. Experienced, expensive people spend their days on documentation, reporting and coordination.

  • Capacity that only grows by hiring

    Growth means recruitment, because the processes do not scale. Everyone is too busy delivering client work to fix the work itself.

  • A credibility gap

    You sell AI capability to customers. Inside, adoption is fragmented and ungoverned, and there is no internal example to point to.

A practical route from tools to operations.

Three stages. One vocabulary from first conversation to handover. Only the first is packaged as a fixed-fee offer.

Assess

Understand your operations and find where agentic AI would pay off. Score every opportunity on value, feasibility, cost, complexity and risk. Leave with a 90-day plan you own.

Fixed fee. Two to three weeks.

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Implement

Design and build AI-enabled workflows around your systems, with your team alongside. Access controls, human approval points and a measured result before anything scales.

Scoped per roadmap.

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Enable

Keep the capability inside your business. Governance, monitoring, architecture guidance and knowledge transfer so your people build the next one.

Recurring.

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One workflow, assessedIllustrative
  1. 14:02:11Process walkthrough: proposal production
  2. 14:02:23Baseline captured with the process owner
  3. 14:02:38Scored: value, feasibility, cost, complexity, risk
  4. 14:03:25Added to the opportunity register
  5. 14:03:46Sponsor review booked
  1. 14:02:11Ticket received from the service desk
  2. 14:02:23Agent drafts a response from service history
  3. 14:02:38Awaiting approval: service desk lead
  4. 14:03:25Approved
  5. 14:03:46Service record updated. Action logged.
  1. 14:02:11Monthly value review opened
  2. 14:02:23Baseline compared with this month
  3. 14:02:38Exception reviewed by the process owner
  4. 14:03:25Approval threshold unchanged. Decision logged.
  5. 14:03:46Next opportunity re-scored

Understand the work before choosing what to change.

People decide where it matters.

Governance is designed into every workflow we build, not added afterwards. Three rules hold from the first pilot.

How we work
  1. BeforeA named person approves each agent action before it goes live.
  2. While it runsData stays in your tenant.
  3. AfterEvery action is logged, and the log is yours.

Built by people who have run one.

Be Agentic was created by people who run the same kind of companies it works with. We proved a system that works in our own business first, and now want to see more providers doing the same.

Running a technical service business exposed the gap this company exists to close. Providers were talking to their customers about AI while their own operations stayed largely manual. We know how sales, resourcing, delivery, support, utilisation and billing interact, because we run them.

What we build with you is not our workflows copied across. It is your own, built for how your business actually runs, with your people able to keep building once we have gone.

The technical background spans the Microsoft enterprise ecosystem, including Microsoft 365, Dynamics 365, Power Platform and Azure, alongside current agentic development approaches and tooling. We say so rather than assume it is the answer.

Why us, in four lines.

  1. Commercial outcomes first.

    We start with the business problem, not the technology. Every engagement is tied to margin, capacity, administrative effort or the speed of sales and service.

  2. Built for technical service businesses.

    We see the opportunities generic AI consultancies miss, because we know how a service business actually runs.

  3. Security and governance by design.

    Access control, auditability, human oversight and data protection come as standard, not as a phase two.

  4. Not tied to a platform.

    We choose the framework that suits your organisation and the clients you serve.

Bring us a business problem.

Tell us where work gets stuck and what you would like to change. We can start there.

We read every enquiry ourselves and reply personally. The first conversation is about your business, not a pitch.

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