Hours back every week
We start with the tasks that eat the most time and measure the hours saved.
Service 11 of 15
AI automation & agents
AI agents and workflow automation that take repetitive work off your team.
- Typical timeline
- 4–10 weeks
- Pricing
- Fixed quote
- Team
- AI engineer + automation engineer
Our 3 promises
Your workflows. Our goal.
Three promises we make on every automation project.
Safe by design
Clear limits, approvals and logs, so agents never act without the right checks.
Built to grow
Automations you can extend to new teams and tools without starting again.
Tech stack
The stack behind your ai automation & agents
Proven, well-supported tools at every layer. Picked for your product, never for our habits.
- AgentsLangGraph
- AgentsMost requestedOpenAI
- AgentsCrewAI
- WorkflowMake
- AgentsMost requestedAnthropic
- WorkflowZapier
- WorkflowTemporal
- WorkflowMost requestedn8n
- RPAUiPath
- RPAPower Automate
- IntegrationsMost requestedREST APIs
- RPAPlaywright
- DataPostgreSQL
- Datapgvector
- DataRedis
- IntegrationsWebhooks
- IntegrationsSlack
- IntegrationsHubSpot
- QualityEvals
- QualityLangSmith
- QualitySentry
What’s included
What you get
Everything in scope, from mapping the work to agents running in production.
01StartProcess mapping
We map the repetitive work and pick the tasks with the best return.
Read more +Show less −
Process mapping is a short study of your team's repetitive work that shows which tasks are worth automating first. You get a ranked list of tasks, an estimate of hours saved for each, and a fixed quote for the first build. It usually takes 1–2 weeks.
What you get
- Audit of repetitive tasks across teams and systems
- Current time and error rate measured for each task
- Hours-saved estimate for every automation candidate
- Ranked shortlist of the first workflows to automate
- Fixed, itemised quote for the first build
How it works
- Interviews with the people who do the work today
- We watch real tasks and measure time and errors
- We score each task on effort, risk and hours saved
- You approve the shortlist and the fixed quote
Good to know: Bring a few real examples of each task, such as sample emails or invoices, so estimates rest on your actual work rather than guesses.
02BuildWorkflow automation
Connected workflows across your email, CRM, finance and files.
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Workflow automation connects the systems your team already uses so that data moves between them without copying and pasting. We build each workflow in n8n or Make where they suit, or in custom code when you need more control, with approval steps and error handling included. Most first workflows go live within 4–10 weeks of the start.
What you get
- Working workflows across email, CRM, finance and file storage
- Approval steps where a person must sign off
- Error handling with retries and alerts to the right person
- Tests run on your real past cases
- Plain-English guide to each workflow and how to pause it
How it works
- We agree triggers, rules and approvals for each workflow
- We build in two-week sprints with a live demo each time
- Shadow runs alongside your team to compare results
- Staged rollout, then full switch-over
Good to know: Workflows run on accounts you own, so you keep control of the tools and data if you ever change supplier.
03BuildAI agents
Agents that read, decide and act on documents, emails and tickets.
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An AI agent is software that uses a language model, such as OpenAI or Anthropic models, to read documents, emails or tickets, decide the next step and act within rules you set. You get agents that handle multi-step tasks, with guardrails and a person approving sensitive actions. We test each agent against a set of your real cases before it goes live.
What you get
- Agents that read, classify and act on documents, emails or tickets
- Clear rules on which tools and data each agent can use
- Human review step for sensitive or high-value actions
- Evaluation set built from your real past cases
- Accuracy report from testing before launch
- Log of every action each agent takes
How it works
- We define the task, its rules and what needs human approval
- We build the agent and its evaluation set together
- Shadow runs compare agent output with your team's work
- Staged rollout once accuracy meets the agreed target
Good to know: Start with one well-defined task; agents with a narrow job are easier to test, trust and expand later.
04BuildIntegrations
Secure connections to the tools your team already uses.
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Integrations are the secure connections that let your automations and agents read from and write to the tools your team already uses. We connect through official APIs and webhooks, and give each connection only the access it needs. Each integration is tested and documented before any automation depends on it.
What you get
- API and webhook connections to tools such as HubSpot or Slack
- Separate service accounts with least-privilege access
- Secure storage for keys and passwords
- Tests for each connection, including failure cases
- List of every connection, what it can access and why
How it works
- We list the tools involved and the access each step needs
- You create or approve service accounts we can use
- We build and test each connection on test data first
- We switch to live data once tests pass
Good to know: Admin access to each tool speeds this up, as waiting for account approvals is the most common cause of delay.
05GrowMonitoring
Logs, alerts and monthly reports on hours saved and errors.
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Monitoring keeps a running record of what every automation and agent does, what it costs and where it fails. You get run logs, alerts when something goes wrong and a monthly report on hours saved, errors and AI usage costs. Problems are flagged to the right person, usually before your team notices them.
What you get
- Run log of every workflow and agent action
- Alerts by email or Slack when a run fails
- Cost tracking for AI model and tool usage
- Monthly report on hours saved, errors and costs
- Error tracking in Sentry with details for quick fixes
How it works
- We set up logs, alerts and cost tracking before launch
- We agree who receives which alerts and how quickly
- Each month we send a report and review it with you
- We fix issues and suggest the next workflows to automate
Good to know: Compare the monthly report with the time and error rates measured during process mapping to see the real return.
How it works
From idea to launch
Every service runs through the same five steps. Here is what each one means for AI automation & agents.
01of 05
UnderstandWeek 1Once
We find the repetitive tasks that cost your team the most time.
You getAutomation brief
What we do
- Interviews with the people doing the work
- Map tasks, tools and hand-offs
- Estimate hours saved per task
You get
- Automation brief
- Task map
- Hours-saved estimate
From you
- Time with the team doing the work
- Read-only access to tools
Tools
- Miro
- Notion
02of 05
PlanWeek 2Once
Agent design, approvals and a fixed quote you approve.
You getFixed quote & timeline
What we do
- Choose automation, agent or both
- Design approvals and limits
- Plan testing on real cases
You get
- Fixed, itemised quote
- Workflow diagrams
- Timeline with milestones
From you
- Review and approve the plan
Tools
- FigJam
- Jira
03of 05
BuildTwo-week sprints↻ Repeats
Workflows and agents built and tested on your real cases.
You getWorking automation every sprint
What we do
- Workflows and integrations
- Agents with tools and guardrails
- Tests on real past cases
You get
- A working demo every two weeks
- Accuracy and time reports
- Access to all code and flows
From you
- 30-minute demo every two weeks
- Sample cases to test on
Tools
- n8n
- LangGraph
- Python
04of 05
Test & launchEach release↻ Repeats
Shadow runs next to your team, then a staged rollout.
You getLive automation
What we do
- Shadow run beside the current process
- Error, cost and safety checks
- Rollout team by team
You get
- Live automation
- Test report
- Runbooks and handover
From you
- Sign-off from the team
- Go-live approval
Tools
- LangSmith
- Sentry
05of 05
Support & growAfter launch↻ Repeats
Monitoring, fixes and new automations as you grow.
You getOngoing improvements
What we do
- Monitor runs, errors and cost
- Update agents as tools change
- Monthly review of hours saved
You get
- Monthly update
- Hours-saved report
From you
- Monthly 30-minute review
Tools
- Grafana
- LangSmith
FAQ
AI automation & agents questions
What is an AI agent?
Software that uses a language model to complete multi-step tasks, such as reading an email, checking a system and drafting a reply, within rules you set, with humans approving key actions.
What can we automate?
Common wins: invoice and document processing, lead qualification, customer support triage, CRM updates, report generation and data entry between systems.
How long does an automation project take?
Most of our AI automation projects go live in 4–10 weeks, starting with one high-value workflow and expanding after it proves itself.
How do we know it will pay off?
We measure the current time and error rate first, agree a target, and report hours saved after launch.
Is it safe to let AI act on our data?
We limit permissions, keep humans in the loop for sensitive steps, log every action and follow UK GDPR, with data processing agreements in place.
Do you use no-code tools or custom code?
Both. We use tools like n8n or Make where they suit, and custom code when you need reliability, scale or complex logic.
Who owns the code?
You do. All IP is assigned to you in the contract, and the code, accounts and documentation are yours from the first sprint.
Let’s talk
Let’s talk
A 30-minute call with an engineer and a clear next step for your project.