AI & automation
Less repetitive work. More room for your team.
Turn enquiries into ready-to-review briefs, help staff find trusted answers, and connect repetitive tasks across your tools. We build a focused workflow your team can use, review and improve.
Free first conversation. Written scope, timeline and price before any paid work.
The problem it solves
A repeatable task keeps pulling people away from higher-value work.
Who it’s for
For teams with a repeatable task, a reliable source of information, and someone who can approve what good work looks like.
What you get
One connected workflow with review steps, exception handling and an operating handover.
What we do
What AI & automation can look like.
AI assistants & copilots
Give people a focused way to search knowledge, draft content, and complete tasks. We shape the interaction around context, sources, and the opportunity to review.
Workflow automation
Connect the repetitive steps across your existing systems. Define approvals, handle exceptions, and keep people informed when a workflow needs attention.
Production AI integration
Connect models to the right data and tools. Design evaluation sets, access boundaries, monitoring, and fallback paths before introducing the system to users.
What’s included
What you’ll have at the end.
- A prioritized use case and feasibility assessment
- A working prototype with agreed evaluation criteria
- An integrated product with human review where needed
- Documentation, operational handover, and an iteration plan
How you’ll know it worked
Run an ordinary case and an exception from intake to completion. Check the output, human approval point and manual fallback against the agreed baseline.
What to know first
If the process changes every day or nobody owns the next action, we first clarify the workflow. A simpler form or existing-tool configuration may be enough.
How it works
What happens, step by step.
- Step 1
Find the useful problem
Map the current workflow and agree what success means: time saved, clearer decisions, or a better customer experience.
- Step 2
Prototype and evaluate
Test the approach against representative examples, including failure cases. Choose models and tools based on observed behavior.
- Step 3
Integrate and improve
Release in a controlled scope, gather feedback, and monitor quality and operating cost as usage grows.
To get started
What we’ll need from you.
- Walk through one recent example from trigger to completion.
- Identify the person who checks the output.
- List the tools involved and the cases that need a manual decision.
By industry
AI & automation for your industry.
Give your front desk room to breathe.
See the details HVACGive every service enquiry a next step.
See the details PlumbingBe ready for the next call before you finish the job.
See the details Real estateTurn property enquiries into better-prepared conversations.
See the details EcommerceGive customers answers your team can stand behind.
See the details Professional servicesGet the admin ready before the work begins.
See the detailsQuestions
Common questions.
Do we need AI, or would simpler automation be enough?
We first separate repeatable rules from tasks that require interpretation. A form improvement or a direct integration may solve the problem without a model. The recommendation should explain why AI is useful, how its output is checked, and what it adds to the operating cost.
What can we validate before a wider rollout?
Start with one channel, one defined task and a named owner. Review representative requests, missing information, duplicates and failures. Agree the quality and handling-time measures before deciding whether the same workflow should expand.
What if an answer is uncertain or an integration fails?
Uncertain answers should stop or go to review within the agreed rules. Failed actions need a visible status, preserved context and an accountable operator. We include the selected exception and recovery scenarios in the acceptance review.
What costs continue after implementation?
Depending on the scope, recurring costs can include model usage, hosting, platform subscriptions and monitoring or maintenance. The proposal separates these from the build and identifies who owns the accounts and checks usage. Support coverage is agreed explicitly.
Which recurring task should your team stop chasing?
Tell us what triggers the task, where it slows down and who needs the result. We can start with a general example.
Free first conversation. Written scope, timeline and price before any paid work.
Talk to us