Agents that do the work, not just answer questions.
We build agents that take over support, onboarding and back-office tasks, with approvals where mistakes are costly and a full log of every action.
What we automate
The repetitive work your team keeps doing by hand.
- 01
Support triage and resolution
Classify, answer and escalate tickets using your docs and order data.
- 02
Customer onboarding
Guide new accounts through setup, collect inputs and chase blockers.
- 03
Lead qualification and routing
Score inbound leads, enrich them and hand sales a clean brief.
- 04
Back-office data work
Invoices, orders and documents read, checked and entered automatically.
- 05
Internal knowledge assistant
Answers for your team, grounded in your wiki, tickets and code.
- 06
Reporting and ops alerts
Weekly summaries and anomaly alerts written for humans, not dashboards.
What you get
A working agent in your tools
Connected to your helpdesk, CRM, inbox or database, not a demo in a separate window.
An eval suite
Real past cases turned into tests, so every change is scored before it ships.
Approval rules and a kill switch
You set what the agent may do alone and what needs a human.
A full action log
Inputs, tools called and outputs for every run, searchable by your team.
Docs and a handover session
Runbooks and a walkthrough so your engineers can own it.
The patterns we reach for
Support and back-office work is mostly sorting, steps and approvals. We reach for an agent only for the open-ended part.
Autonomy you can trust, because you can see it
- Human approval on any action above limits you set
- Every step logged: inputs, tools called, outputs
- Evals run against real past tickets before launch
- Kill switch and gradual rollout by customer segment
From first workflow to production
A typical path for a single workflow. We confirm yours in the written plan.
- Stage 1
Map the workflow
Shadow the work, define the metric, collect real examples.
- Stage 2
Build and test
Agent, tools and approvals built and scored against your examples.
- Stage 3
Staged rollout
Release by segment with monitoring and a kill switch.
- Stage 4
Handover
Runbooks and a walkthrough for your engineers.
What we measure
- Resolution
- Share of cases the agent closes correctly without a human.
- Escalation quality
- Whether the cases it hands over arrive with the context a person needs.
- Time and cost per case
- Handling time and model spend, tracked from the first week.
- Error rate
- Wrong or unsafe actions found by evals and human review.
Who this is for
SaaS teams with a growing ticket queue
Support and onboarding work grows with every customer you sign.
E-commerce and DTC operators
Order, returns and inventory questions that repeat all day.
Agencies and media teams
Reporting, intake and production admin that eats creative time.
One agent for one workflow: build, evals, monitoring and handover.
Add workflows, tune quality and cost, and keep the agents healthy.
Frequently asked questions
Will an agent send things to customers without review?
Only where you allow it. Start with drafts for human review, then widen autonomy as the evals and live metrics earn it.
Can it work with our helpdesk and CRM?
Yes. We connect through their APIs and keep credentials in your secret store.
What happens when the agent is unsure?
It escalates with a summary of what it tried, so your team starts from context, not from zero.
How do you keep the agent from doing something wrong?
Limits on what it may do alone, human approval above them, evals on real past cases before launch, and a full log with a kill switch afterwards.
Which models do you use?
We pick per workflow on quality, speed and cost, and keep the choice swappable so you are not locked to one provider.
Who owns what you build?
The scope and handover are written into the plan before work starts. Ask about ownership on the call and we will put your answer in writing.