AI that does the work, not just describes it.
We engineer AI agents that run real processes inside your business, wired into the systems you already use, with the guardrails that make them safe to leave running.
We will tell you when AI is the wrong answer. That happens more often than the industry admits.
The honest version
Most "AI transformation" is a pilot that never ships.
It is easy to demo an agent. It is hard to make one reliable enough that a business will let it touch real records. The gap between those two things is engineering, and it is most of the work.
What agents are genuinely good at
- Reading and summarising large volumes of text
- Drafting first versions that a human edits
- Classifying and routing incoming messages
- Retrieving the right document or record
- Multi-step tasks with clear success criteria
Where they still fail
- Anything requiring guaranteed arithmetic
- Judgement calls with real legal exposure
- Tasks with no way to verify the answer
- Fully unattended work with no human check
- Situations the training data never covered
What we build
Four parts of a working AI system.
Custom AI agents
Agents that do a specific job inside your business: triage the inbox, qualify inbound leads, draft the follow-up, chase the overdue invoice, answer the same twelve questions your team answers every day.
- Scoped to one job, done reliably
- Wired into your real systems
- Human approval where it matters
- Logs you can audit
Agentic workflow engineering
Multi-step processes where the model decides what happens next rather than following a rigid script. The engineering is in the guardrails: what it may touch, when it stops, and who it asks.
- Tool use and function calling
- Retrieval over your own documents
- Escalation paths
- Failure handling and retries
AI consulting & strategy
An honest assessment of where AI helps, where it is expensive theatre, and what to do first. Most companies do not need a strategy document, they need one working process.
- Opportunity mapping
- Build vs buy analysis
- Vendor and model selection
- Team enablement
Data foundations
An agent is only as good as what it can reach. We fix the plumbing first: clean access to the systems that hold the answers, with permissions that actually hold.
- API and database access
- Document ingestion
- Permissions and scoping
- Audit trails
The catalogue
Twelve jobs an agent can take off your team.
Each of these is a repeated task with a clear input and a clear output. That is the shape of work an agent does reliably, and the shape of work a person should not be doing at 11pm.
Inbox triage
Reads every inbound message, sorts by what it actually is, drafts the reply, and escalates the ones that are urgent or angry.
Lead follow-up
Replies to a new enquiry in under a minute, asks your qualifying questions, and books a real slot in your calendar.
Review collection
Asks for a review at the moment satisfaction peaks, routes complaints privately first, and posts the good ones to the right platforms.
Listing accuracy
Audits your business details across directories and map platforms, and reports every wrong phone number, stale address and duplicate profile.
Document extraction
Reads invoices, applications, forms and PDFs, pulls the fields you care about, and writes them where they belong.
Draft correspondence
Writes the first version of the email, proposal or follow-up from your notes and the actual thread history, for a human to send.
No-show recovery
Notices a missed appointment or a booked call that never happened, and runs the rebooking sequence without a person chasing.
At-risk detection
Reads attendance, usage or engagement records, flags the account going quiet, and drafts a personal check-in for a human to approve.
Reporting digest
Pulls the numbers from your systems each week, writes the summary, and emails it with the exceptions called out.
System sync
Keeps two systems that do not talk in step, resolving conflicts by rules you define rather than by whoever notices first.
Knowledge answers
Answers staff and customer questions from your own documents, always with the source attached so the answer can be checked.
Qualification scoring
Reads inbound leads against your own definition of a good fit, scores them, and routes the strong ones to a person immediately.
Most clients start with one. The second is cheaper, because the plumbing that lets an agent safely reach your systems is already built.
Under the hood
What makes one safe to leave running.
Triggered by an event
A new enquiry, a completed appointment, a changed record, a scheduled hour. It starts because something happened, not because a cron job felt like it.
Reads only what it needs
Scoped permissions to the specific records and fields the job requires. An agent that can read everything will eventually read the wrong thing.
Acts, or drafts
Either it performs the action, or it writes the draft and waits. Which of those applies is decided per job, with you, before launch.
Logs everything
Every read, decision and action is recorded with a timestamp. When someone asks why the system did that, there is an answer.
Fails loudly
A failure or an unclear case escalates to a person rather than guessing. Silent wrong answers are the only unacceptable outcome.
Measured against the baseline
We compare it to how the job was done before: time saved, response time, error rate. If it is not better, it does not stay.
Where it earns its keep
Boring processes, done consistently.
The value is rarely in something impressive. It is in the repetitive task nobody enjoys, done the same way every time, at three in the morning.
Inbox and enquiry triage
Sort, tag, draft replies and route the genuinely urgent ones to a person.
Document and policy search
Ask a question in plain language and get the answer with the source attached.
Sales follow-up
Draft the next touch from the actual conversation history, not a generic template.
Compliance and review
Check submissions against a rulebook and flag exceptions for a human.
How an engagement runs
One process, proven, then the next.
Pick one process
Not a department, not a strategy. One repeated task with a clear input, a clear output, and someone currently doing it by hand.
Prove it in weeks
A working agent against real data, measured against the human baseline. If it is not better, we say so before you spend more.
Harden it
Permissions, approval gates, logging and failure handling, so it can run without someone watching it constantly.
Expand deliberately
Once one process is reliable, the next one is cheaper to build because the plumbing already exists.
Before you ask
The questions that actually matter.
Is this a product or a service?+
A service. We build agents for your business around your systems and your data. If one of our software products already does the job, we will point you at it rather than charge you to rebuild it.
What does an engagement look like?+
It starts with one process. We scope it, build a working version against your real data, measure it against how the work is done today, then harden it before expanding. You see working software early rather than a strategy deck.
How do you stop an agent doing damage?+
By limiting what it can reach and what it can do. Read-only access where possible, human approval before anything irreversible, full logging of every action, and hard stops rather than hopeful prompts.
Can it work with our existing systems?+
That is usually the whole job. An agent that cannot see your CRM, your tickets or your documents is a chatbot. Most of the engineering is safe, permissioned access to the systems already holding the answers.
How is this different from the AI features in our software?+
Vendor AI features are built for the average customer and live inside one tool. Custom agentic work connects across your systems and is built around one specific process that the vendor will never model for you.
What is the task your team hates most?
Start there. Bring it to a scoping call and we will tell you honestly whether an agent can do it well.