AI Ready

AI agents. Built for your business.

We build agents to handle recurring jobs in your business. Built around your workflows, connected to your tools, and ready for your team to use.

Book a callFind your workflow

A menu of work you can hand over.

Find a familiar headache. We’ll build around the way your business runs.

  • Finance

    Invoice intake

    Reads incoming invoices, extracts the fields and queues exceptions for review.

  • Sales

    Account researcher

    Prepares a brief on an account before a call, from your CRM and public sources.

  • Support

    Request triage

    Sorts incoming requests by type and urgency, and routes each to the right queue.

  • Support

    Knowledge assistant

    Answers staff questions from approved sources, and passes on the ones it can’t answer.

  • Finance

    Reporting assistant

    Assembles the monthly report from agreed exports and flags what’s missing.

  • Operations

    Meeting follow-up

    Writes up decisions and next steps after a meeting, and drafts the follow-up.

  • Sales

    Proposal assistant

    Drafts a first proposal from the call notes and your approved templates.

  • Operations

    Project updates

    Collects status from your tools and drafts the weekly project update.

  • Sales

    CRM assistant

    Suggests CRM updates after a meeting, for a person to approve.

  • Support

    Help-content assistant

    Turns resolved tickets into draft help articles for the team to edit.

  • Finance

    Expense reviewer

    Checks expense claims against your policy and flags the ones that need a look.

  • Operations

    Onboarding guide

    Answers a new starter’s questions and points them to the right people and documents.

Comparison

The same job. Fewer steps on your plate.

Agents handle the repeatable steps. Your people stay involved where judgment matters.

Without an agent

Your team carries every step, one at a time.

  1. Pick up the request

    Inbox

    Open

  2. Find the information

    CRM and documents

    Open

  3. Prepare the output

    Docs and spreadsheets

    Open

  4. Review and hand off

    Email and tasks

    Open

Four hand-offs, every time the job comes up

With your agent

Your AI agent

The routine steps run on their own.

  1. Request comes in

    A form, an email or a message

    Done

  2. Gathers context

    From your inbox, CRM and documents

    Done

  3. Does the work

    Drafts the output using your rules

    Done

  4. Prepares the hand-off

    Flags anything that needs a person

    Done

  5. You review and decide

    Approvals and exceptions only

    For a person

One step left for your team: the decision

Your tools. Your workflow. Your agent.

Built on the platforms you already use, and the business systems around them.

  • Anthropic

    The Claude Agent SDK and Managed Agents, for agents built in code with skills and connectors.

  • OpenAI

    The Agents SDK for agents built in code, and workspace agents your team runs inside ChatGPT.

  • Microsoft Copilot

    Copilot Studio, for agents across Microsoft 365, published to Teams and Copilot.

  • Notion

    Custom Agents that run on a schedule or a trigger across your workspace.

  • LangChain

    LangGraph, the open-source framework for agents on any model, with LangSmith to trace and test them.

  • Gumloop

    A shared agent builder for the whole team, on any model, with IT controlling access.

  • n8n

    AI agent nodes on a visual canvas, with code where it is needed and a self-hosted option.

  • Zapier

    Zapier Agents, which work across its catalogue of connected apps.

  • Start with what you already pay for

    We use your platforms’ agents, connectors and automations where they fit. We build custom connections and code where they don’t.

  • Use it where work already happens

    Requests, approvals and outputs can live in Slack, Teams, your AI workspace or the tools your team uses today.

  • Keep control after handover

    Company-owned accounts, documented workflows and training for the people running them. No required AI Ready software platform.

Pricing

Pick the jobs. We’ll handle the build.

Each agent handles an agreed recurring job. We confirm the scope and integrations before you commit.

  • One agent

    $8,000

    One-time build

    What it includes
    • Connections to your tools
    • Testing on your own work
    • Team training and handover
    • 30 days of post-launch tuning
    Discuss one agent

  • Save $4,000

    Three agents

    $20,000

    One-time build

    What it includes
    • Connections to your tools
    • Testing for each workflow
    • Team training and handover
    • 30 days of post-launch tuning
    Plan your three agents

  • A connected system

    Custom

    Scoped to your business

    What it includes
    • Multiple coordinated workflows
    • Shared context and agent handoffs
    • Custom connections where needed
    • Human approvals and exceptions
    • Training and support plan
    Scope your system

Working in weeks. Tested on your work.

Most scoped agents take 2–3 weeks once access and sample work are ready.

  1. Map the workflow, confirm access, and decide what a successful result looks like.

  2. Run it on your past work, including exceptions. Check the results against the agreed requirements.

  3. Start with every output checked, train the owner, and tune the workflow for 30 days.

FAQ

A few things you might ask.

Will it work with our systems?

We check access, integration options and platform constraints before quoting. Some workflows use existing connectors; others need a custom integration.

What happens to our data?

It stays in your own accounts. Agents are built in the platforms you already pay for and connected to your systems, and your company owns them at handover. There is no AI Ready software in the middle: you pay your providers directly and keep the accounts.

How much time does our team need?

A few working sessions at the start to map the job, confirm access and agree what a good result looks like, then time to review outputs during testing and through the first 30 days after launch. One person on your side owns the workflow and is trained at handover.

Can multiple agents work together?

Yes. A connected system is several agents with shared context and handoffs between them, scoped as one build: coordinated workflows, custom connections where needed, and the human approvals and exceptions agreed up front.

When isn’t this a fit?

When the job isn’t recurring or defined enough to agree acceptance criteria before the build, or when the systems involved can’t give an agent the access it needs. We check both before quoting. If testing shows the agent can’t meet the agreed requirements, we stop and the second half isn’t due.

What’s the job your team wishes it could hand over?

Bring the workflow. We’ll work out what’s feasible, what it needs and what it would cost.

Book a call