Assistants that do the work, not just the talking
A chatbot that can only chat creates work. An agent connected to your systems can answer from real data, take the action a customer asked for, and hand over to a person the moment it should. We build the second kind, on top of the systems you already run.
- Connected to your systems
- Answers from your data
- Escalates to a person
- Measured, not assumed
- Web chat
- Voice
- Internal tools
How we help with ai agents and automation
Each piece can stand on its own, or run as one engagement with a single point of contact.
Customer support agents
Answering on WhatsApp, chat and email from your own documents, orders and policies.
- Answers from your data
- Handover with full context
- Working hours and tone you set
Workflow automation
The repetitive work between systems: quotes, invoices, onboarding, reporting, chasing.
- Triggered by events or schedule
- Approvals where you want them
- Full audit trail
Internal assistants
A place for staff to ask questions of policies, procedures and past work, with citations.
- Private to your organisation
- Cites its sources
- Permissions respected
System-to-system agents
Agents that read, decide and write back into your CRM, ERP or spreadsheets.
- Reads and writes real records
- Rules you can inspect
- Stops and asks when unsure
Document handling
Reading invoices, forms and emails, pulling the fields out and filing them correctly.
- Structured extraction
- Validation rules
- Human review queue
Guardrails and oversight
Limits on what an agent may do, logs of what it did, and a person in the loop where it counts.
- Action limits
- Conversation logs
- Escalation rules
An agent is only as good as what it is allowed to see
Most disappointing AI projects fail on plumbing rather than intelligence: the assistant cannot see the order system, so it guesses; it cannot take an action, so it apologises; nobody measures it, so nobody knows whether it helps.
- We connect to the real systems before we tune any prompts
- Every answer is traceable to the data behind it
- Agents act within limits you set, and log what they do
- Anything uncertain goes to a person, with the context attached
- We measure deflection, accuracy and escalation from the first week
Four steps, and you can see all of them
No long silences. You see progress as it happens and can change direction between stages.
- 1
Pick the job
One repetitive, measurable task first: the queue that never clears or the question asked forty times a day.
- 2
Connect and constrain
Access to the right data, limits on the actions, and an escalation path before anything is switched on.
- 3
Pilot quietly
Running alongside your team, with humans checking output until the numbers justify trust.
- 4
Widen
More volume, more actions, more channels, each with the same measurement.
We start where the work is boring and measurable. If the numbers do not improve, we say so rather than adding features.
What we build with
Chosen to suit the job and to be maintainable by whoever comes next.
- Commercial APIs
- Open models on our servers
- Retrieval augmented generation
- WhatsApp Business
- Web chat
- Voice
- Internal dashboards
- Your CRM and ERP
- Databases and sheets
- Webhooks and queues
- Logging and analytics
Where the model runs is a decision, not a default. Sensitive data can stay on servers we run for you rather than going to a third party.
Where this work usually starts
Support teams drowning in repeats
The same forty questions, all day, most of them answerable from data you already hold.
Sales teams losing leads to delay
Enquiries that arrive at night and are answered two days later.
Back offices retyping data
Invoices, forms and emails copied by hand into a system.
Businesses on WhatsApp
Most customer conversation happens there and none of it is connected to anything.
Teams with scattered knowledge
Policies and procedures spread across drives, inboxes and people's heads.
Anyone who tried a chatbot
A bot that answers nothing useful and annoys the people it meets.
AI Agents and Automation, answered
Is this just a chatbot?
No. A chatbot answers from a script. An agent reads your systems, takes actions within limits you set, and hands to a person when it should. The connection to real data is the whole point.
Is this just a chatbot?
No. A chatbot answers from a script. An agent reads your systems, takes actions within limits you set, and hands to a person when it should. The connection to real data is the whole point.
Start with one repetitive job
Tell us the task your team repeats most and we will tell you whether an agent can take it, and how we would measure it.