What you gain
We build agents that do defined work, run inside your systems, and can be measured and managed like any other part of your operation.
That includes:
- Agents tied to a specific task with a clear owner
- A measurable target and a baseline to compare against
- Logging and cost tracking so you can see what each agent does and what it costs
- Governance controls and the ability to pause an agent at any time
- Solutions your teams can maintain and develop further
Our focus is on automation that creates practical value, not technology for its own sake.
Where AI agents create value
How we build them

1. Workflow first, model second
We start with the task, not the technology. What is the work, who owns it today, what does a good outcome look like, where does the data sit, and what happens when something goes wrong? Many automation projects skip this step and start with the model. That is usually where they fail.

2. The right model in the right place
We match the model to the task. A more capable model where reasoning matters, a smaller and cheaper one where it does not, and an open-weight option where data residency or cost requires it.

3. Built on the platforms you already pay for
Where HubSpot Breeze, Klaviyo, Microsoft Copilot Studio, or similar tools can do the job, we use them. We build custom only where the platform genuinely cannot meet the requirement.

4. Measurable and controllable
Every agent ships with logging, output evaluation, and cost tracking, and can be paused immediately. You can always see what an agent did, why, and what it cost.

5. Governance from the start
Data classification, protection against prompt injection, output review for regulated content, and documentation aligned with the EU AI Act, built in from day one rather than added later.
What we do not do
- We do not train our own foundation models. The model landscape changes faster than most enterprise roadmaps, so we keep you on the best mix of public and private models for each task.
- We do not deliver agents that are simply a layer over a chatbot. If there is no measurable workflow underneath, we will say so.
- We do not lock you to a single vendor. Every agent we build can be moved to a different model or platform with a known cost.
Why organisations work with us
About Novicell
Novicell is a digital consultancy that helps organisations strengthen commerce, digital experience, and operational performance.
We work across strategy, platforms, architecture, development, marketing, and data, helping organisations integrate AI into their existing business and technology environments in a practical and measurable way.
We work with CIOs, CTOs, heads of operations, and digital leaders on both advisory and implementation engagements, from early sparring on candidate workflows through to production agents, governance, and ongoing measurement.
Get in touch to discuss where AI agents can take real work off your teams.
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