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Automations, agents and platforms that become an intelligence system you own

We're an AI automation agency for ambitious mid-market businesses.

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We start with the work that eats your team's hours, build it properly in 4 to 8 weeks, and connect every build into one system your business owns. You work directly with David, our founder, throughout.

The basics

What is an AI automation agency?

An AI automation agency designs, builds and looks after automations that mix traditional process automation with AI. A good one takes specific repetitive work off specific people, on a plan you can measure week by week. That covers:

  • Mapping how the work happens today and where the hours go
  • Building the first automation, live in 4 to 8 weeks
  • Training your team to run it
  • Measuring the hours saved against the starting point

Most AI projects don't get that far. Gartner expects around 30% of generative AI projects to be abandoned after proof of concept (opens in a new tab), and PwC found 56% of CEOs have seen no revenue or cost benefit from AI yet (opens in a new tab). The problem is rarely the model. It's the lack of a delivery plan tied to outcomes.

We're built for mid-market businesses with enough complexity to benefit, but not the in-house capacity to get the first build live. Each build connects to the last, so together they become an intelligence system you own, not another tool you rent. Here's a roadmap your team can check every week.

Your options

AI automation agency vs in-house team vs DIY tools

Three ways to get there. Only two end with you owning what gets built.

AI automation agency

Time to first value
4 to 8 weeks
First-phase cost
Fixed price, scoped after a call
Strategic depth
Yes Strategy and delivery
Cross-system integration
Yes Built in
Ongoing maintenance
Optional ongoing partnership
Best suited for
Growing businesses without in-house automation engineers
Risk profile
Phased delivery lowers the risk

In-house team

Time to first value
6 to 12 months (hiring and ramp-up)
First-phase cost
A senior hire's salary
Strategic depth
Yes If senior hire
Cross-system integration
Yes If capacity exists
Ongoing maintenance
Internal headcount
Best suited for
Larger businesses with an existing data team
Risk profile
Hiring and ramp-up risk

DIY tools

Time to first value
2 to 4 weeks for one task
First-phase cost
Monthly tool fees
Strategic depth
No Tool-led
Cross-system integration
No Limited
Ongoing maintenance
Your team carries it
Best suited for
Single-task automation, low complexity
Risk profile
Tool sprawl and brittle automations

For the full trade-offs, read how to build an AI automation strategy.

Our principles

What makes Agenticise different

Six decisions that shape every project.

  • Honest advice first

    We'll tell you when you don't need us. The first conversation finds the workflow worth automating and answers build, buy or wait on its merits.

  • Measured in hours

    Every project is measured in hours saved each week and capacity freed, not tools deployed. You'll see the same number we do.

  • People stay in charge

    Anything customer-facing, regulated or irreversible keeps a person in the decision. Automation takes the busywork, never the judgement.

  • You work with the founder

    David is on every call, every scoping session and every review. There's no account manager in between.

  • Built for the mid-market

    Our pace and process suit growing businesses that can move quickly and want a disciplined partner.

  • Yours to keep

    Everything runs in your own accounts, on tools chosen for the job rather than a reseller deal. If we part ways, the system stays with you.

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Case studies

Results we've delivered

Hours and capacity given back. Each number links to a published case study.

See all case studies

Before you choose

How to vet an AI automation agency: 5 questions

The checklist we'd give anyone choosing a partner, including us. Ask every agency on your shortlist all five.

  1. Will they tell you what you need, or sell you what you asked for?

    Why it matters: A good partner will say when a process needs fixing before it's automated, or when you've picked the wrong workflow to start with.

  2. Do they measure outcomes or outputs?

    Why it matters: Hours saved and capacity freed show whether the work paid off. Counting tools deployed doesn't.

  3. Is human-in-the-loop designed in from day one?

    Why it matters: Regulated, customer-facing and irreversible decisions should stay with a person. If an agency doesn't raise this early, it probably hasn't done it before.

  4. Are they independent on AI, or reselling one vendor?

    Why it matters: The right model changes from job to job. A partner tied to one vendor will optimise for the vendor, not your workflow.

  5. How is maintenance handled, and what does it cost?

    Why it matters: Plan for 10 to 20% of the build cost a year. If it isn't in the proposal, it'll turn up later as a surprise.

To see how these questions map onto a phased rollout, read the AI automation roadmap.

Our process

How we work

Five steps, the same on every project. Each one ends with a decision, not just a milestone.

  1. Discover

    We map the process end to end, measure the hours it takes today and pick the best first build. You get a one-page scope you can sign off quickly.

  2. Plan

    We phase the roadmap over 30, 60 and 90 days, with targets and decision points for each.

  3. Build

    We build the first automation and connect it to the tools you already use, choosing the AI for each job. It's live in 4 to 8 weeks.

  4. Train

    We build it into your team's routine and train them to run it. Adoption is part of the project, not an afterthought.

  5. Improve

    We re-measure the hours saved, then connect the next workflow to the first. This is where it starts to compound.

We measure progress with our four-part hours-saved framework. The UK Government's AI Opportunities Action Plan (opens in a new tab) puts adoption support at the centre of AI productivity gains, and this is how we put that into practice for each business.

How we build

Multi-agent orchestration

Every build runs on multi-agent orchestration. Discovery, planning, building, review and testing run as dedicated AI agents in parallel, with a person making the decisions. That's how a production-grade build goes live in weeks.

See how it worked on Semoria

AI automation agency questions

What does an AI automation agency do?
It designs, builds and looks after automations that combine process automation, such as moving data and rules-based decisions, with AI for drafting, sorting and summarising. That usually means mapping the work, building the first automation in 4 to 8 weeks, training the team and measuring the hours saved.
How is an AI automation agency different from an AI consultancy?
A consultancy advises and writes the strategy. An automation agency builds and runs what it describes. Most growing businesses need one partner who does both, which is how we work.
How much does an AI automation agency cost?
It depends on how many systems are involved and how well the process is documented. Most of the cost is discovery, mapping and designing where people stay in control, not AI usage. We scope and price every project after a call.
Do I need an AI automation agency, or can I build in-house?
Build in-house if you have automation engineers with time to spare and the work stays inside systems they know. Use an agency to get the first automations live within a quarter, with strategy and build in one place.
How long until an AI automation agency delivers measurable results?
A focused first build goes live in 4 to 8 weeks, and the hours come back from go-live. Be wary of anyone promising results inside 30 days. That usually means skipping the checks that protect the work.
Which industries does Agenticise work with?
Ambitious mid-market businesses in sales teams, marketing agencies, professional services and construction. We follow workflow patterns rather than sectors. Our case studies span construction, flooring, biometrics and an angel network.
See all FAQs

Get in touch

Tell us what you're working on

Book a 30-minute call with David, or write to us below. We'll talk through what's worth building, what isn't, and where an intelligence system you own would start.

Book a call (opens in a new tab)

Write to us

What happens next

  1. We'll set up a free 30-minute call

  2. We'll talk through your challenge and what a build would look like

  3. You'll get a clear scope, timeline and price. No sales follow-up.

David Packman, founder of Agenticise

Who you're talking to

Every call is with David, the founder. No sales team or junior consultants, just a working conversation about your bottleneck, what we'd build and what we wouldn't.

Bring half-formed ideas. The call is most useful when it's about the real problem in front of you, not a polished brief.