Master's in AI
    Enterprise AI Agents

    Digital workers inside governed workflows

    Deploy specialised AI agents for support, sales, finance, analytics and operations with integrations, audit logs and human approval gates.

    How it works

    01

    Define Agent Role · Scoped

    Role & Boundaries

    Map the task, set permissions, escalation rules, and connect the knowledge the agent needs to act correctly.

    02

    Connect Tools & Data · Integrated

    System Integration

    Link your CRM, email, documents, and APIs so the agent has everything it needs — and nothing it shouldn't.

    03

    Run with Review Gates · Controlled

    Governed Deployment

    Deploy with human-in-the-loop approval so no consequential action goes unchecked until confidence is proven.

    04

    Optimise & Scale · Continuous

    Tune & Expand

    Monitor performance, tune prompts and retrieval, then expand to new roles as confidence and trust grows.

    The problem

    Why your team needs AI agents right now

    Customers wait 4+ hours for a reply

    Every hour a customer waits for an answer, satisfaction erodes. 42% of customers who don't get a timely response contact a competitor next.

    Your team answers the same 12 questions 40 times a week

    Repetitive tickets aren't a knowledge problem — they're a capacity problem. Your team is capable of better work. They're just buried in volume.

    Sales follow-up is inconsistent

    When follow-up depends on manual availability, good leads can sit too long. The gap is not effort — it is process coverage.

    Admin takes 3 hours a day from people hired to think

    Drafting, filing, logging, routing. Smart people doing mechanical work. The cost is not just time — it's motivation and retention.

    Results

    What clients see after deployment

    <1 min
    first response time
    70–80%
    tickets resolved without human involvement
    -55%
    average support cost per resolved ticket
    24/7
    availability across every channel

    Based on typical client deployments. Results vary by configuration and use case.

    Agent capabilities

    Specialised agents for enterprise workflows

    Every agent is configured around a role, connected to the right systems and governed by clear review rules.

    AI Bookkeeper

    Speeds up your accounting with fast processing and instant answers.

    More info

    AI Customer Service

    Answers customer questions 24/7 across chat, email and WhatsApp.

    More info

    AI Receptionist

    Intake, appointment scheduling and smart routing for inbound calls.

    More info

    AI Content Creator

    Drafts social posts, blogs and newsletters in your tone of voice.

    More info

    AI Sales Assistant

    Lead qualification, follow-up and meeting scheduling on autopilot.

    More info

    AI HR Assistant

    Job descriptions, HR Q&A and structured onboarding support.

    More info

    AI Data Analyst

    Reports, trends and dashboards generated straight from your data.

    More info

    AI Personal Assistant

    Your own AI assistant — configured and tuned by experts.

    More info
    How it works

    Deploy agents with control and visibility

    01

    Define the agent role

    Clarify responsibilities, permissions, data access, escalation rules and success metrics.

    02

    Connect enterprise knowledge

    Link the agent to approved documents, systems, APIs and operational context.

    03

    Deploy with governance

    Run on secure infrastructure with audit logs, role-based access and human approval gates.

    04

    Operate continuously

    Monitor usage, tune behavior, improve retrieval and expand into multi-agent workflows.

    Questions

    What people ask before they deploy

    Ready to deploy governed AI agents?

    From advisory call to full implementation. We handle it.

    Free intro call · Your infrastructure · GDPR compliant

    Agent pattern

    AI agents are useful when they can use context and hand work back safely.

    The agent answers, searches or acts inside a controlled workflow instead of becoming another open chat window.

    Agent work flow

    A request becomes an answer, action or review.

    Request comes in
    Question or task
    Agent uses context
    Knowledge and tools
    Answer or handoff
    Action with review
    Faster response
    Routine questions and tasks move without waiting.
    Bounded action
    Sensitive steps can require human approval.
    FAQ

    Questions before you build

    Short answers to the things most teams ask before turning a workflow into an AI-powered system.