Go to content
AI Services H1

AI Automation and Enterprise Agents

Put AI agents to work on real tasks, not demos

From automation to measurable results

AI agents are becoming a practical way to automate work at scale. Done well, they take repetitive tasks off your teams, run reliably inside your existing systems, and produce measurable results. Done poorly, they create more risk and cost than the work they were meant to replace. At Novicell, we design, build, and operate enterprise AI agents across customer service, sales, content production, lifecycle marketing, and back-office operations. We build them on the platforms you already use, such as HubSpot Breeze, Klaviyo, and Microsoft Copilot Studio, and develop custom agents when the platform alone is not enough.

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

  • globe icon

    Service and support

    Agents that resolve common customer queries, escalate the rest cleanly, and write the outcome back to your CRM. Most organisations already pay for the underlying platform, such as HubSpot, Zendesk, or Salesforce. We activate and instrument what you already have rather than rebuild it.

  • purchasing icon

    Sales and prospecting

    Agents that research accounts, draft personalised outreach, and queue it for human approval before anything is sent. We build these into HubSpot Breeze, native Salesforce AI, or as custom workflows on top of your existing data.

  • lightbulb icon

    Content and creative production

    Agents inside your content workflow, working with platforms such as Umbraco, Storyblok, Contentful, and Sitecore, that draft, translate, repurpose, and tag content under editorial oversight. This is particularly useful for marketing at scale and multilingual programmes.

  • human icon

    Lifecycle marketing

    Klaviyo AI flows, send-time prediction, and AI-assisted subject lines for B2C and B2B. Designed and measured as part of a structured lifecycle programme, with clear ownership and reporting.

How we build them

Growing arrow icon

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.

Scale icon

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.

a folder with a bag icon

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.

pen and paper icon

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.

a logic map and a pen icon

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. 

How we typically engage

Most engagements begin with a focused review of the workflows in your business that are good candidates for automation: which agents are most likely to pay back, which carry the most risk if rushed, and where the data and governance work needs to come first. From there, we move into design, build, and ongoing operation.

Why organisations work with us

  • list icon

    End-to-end delivery

    We combine advisory, architecture, implementation, and ongoing operation in one model, so the people who advise on an agent are the people who build and run it.

  • target icon

    Platform experience

    As a HubSpot Diamond Partner, Klaviyo Gold Partner, and member of the MACH Alliance, we understand how AI fits into the commerce, CMS, and martech systems enterprises actually run on.

  • head icon

    Technology-neutral approach

    We do not develop proprietary models. We help you evaluate, integrate, and govern the technologies that best fit your needs.

  • lightbulb icon

    Business-focused implementation

    We measure success by operational adoption and measurable outcomes, not by experiments without ownership.

  • scales in hand icon

    Collaborative approach

    We work alongside your teams to keep business goals, technology decisions, and day-to-day operations aligned.

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.

Get in touch