AI Agents

AI agents that take work off your team’s plate.

Custom agents that read, reason and act across your business systems, completing multi-step tasks around the clock while your people stay in control of what matters.

Example run · Back-Office Agent ● Live
1. Read 24 new invoices from inbox Done
2. Extract vendor, totals and line items Done
3. Match against purchase orders Done
4. Flag 2 price mismatches Review
5. Post 22 approved invoices to ERP Queued
Illustrative example of an agent workflow with human review.
New · Live demo

Try our SQL Agent, live.

Ask a question in plain English and watch the agent write the SQL, run it, chart the answer and explain every step, on a sample store database that runs safely in your browser.

Free · verify your email · 3 live questions plus unlimited examples

“Which marketing channel has the best return on spend?”

SELECT s.channel,
  ROUND(r.revenue / s.spend, 2) AS roas
FROM spend s
LEFT JOIN revenue r ON r.channel = s.channel
ORDER BY roas DESC;

✓ Email leads with 18.9× return on spend

Agent library

Start with a proven agent, tailored to you.

Each agent is configured for your data, tools and approval rules. Most clients start with one and add more once the first is paying off.

CS

Customer Support Agent

Resolves routine questions instantly and hands complex cases to your team with full context.

Answers from your help centre

Tracks orders and updates tickets

Escalates with a suggested reply

SD

Sales Development Agent

Keeps your pipeline full by researching, qualifying and following up with every lead.

Enriches and scores leads

Drafts personalised outreach

Books meetings, updates CRM

BO

Back-Office Agent

Processes the documents that slow finance and operations teams down.

Reads invoices, POs and forms

Validates against your rules

Posts to ERP or accounting

KA

Knowledge Agent

Gives every employee instant, cited answers from internal knowledge.

Searches policies and drives

Answers in Slack or Teams

Respects document permissions

RA

Research & Reporting Agent

Turns scattered data into clear, regular reports for decision-makers.

Pulls data from many systems

Writes weekly KPI summaries

Flags anomalies early

OA

Operations Agent

Coordinates hand-offs and follow-ups that fall between teams.

Monitors inboxes and queues

Chases missing information

Routes work to the right person

How it works

From idea to a working agent in weeks.

A structured process so your agent is reliable, safe and adopted by the people who use it.

Step 01

Map the workflow

Document the task, systems, decisions and exceptions with the people who do the work.

Step 02

Connect & configure

Connect tools and data, and define permissions and approval rules.

Step 03

Test with real cases

Run real examples, measure accuracy and refine until it meets the bar.

Step 04

Launch & improve

Go live with monitoring, training and regular tuning.

Guardrails

Autonomy where it helps, control where it matters.

Every agent ships with guardrails agreed with you in advance, so you can trust it with real work from day one.

Talk about your use case

Approval steps before payments, customer emails or other sensitive actions

Clear limits on which systems and data each agent can access

Confidence thresholds that route uncertain cases to a person

Complete, searchable logs of every step the agent takes

Kill switch and rollback controls that you own

Regular performance reviews with your team

Get started

Which task would you hand to an AI agent first?

Tell us about it. We’ll assess feasibility and outline what a pilot would look like, free of charge.

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