AI agents that quietly take the work no one wants to do.
Multi-step automations that read email, call APIs, reason when needed, and write back to your systems — observable, auditable, switchable off.
The most useful AI agents are not the most ambitious. They do one job, well, with logs you can actually read, and an off switch you trust. We build agents for the work that takes three apps and a human to finish — lead triage, document processing, support routing, invoice handling — and we run them in shadow mode before turning them on. No black boxes, no vendor lock-in, no mystery actions taken in your name.
- Manual handoffs between tools — inbox to CRM to spreadsheet to Slack
- Approval workflows that depend on one specific person being awake
- Repetitive back-office tasks that scale linearly with headcount
- Support triage and routing that's slow and inconsistent
- Lead enrichment, qualification, and routing that wastes rep time
- Document processing that's slow, error-prone, and hard to audit
Operations teams with one or two clearly defined repetitive workflows, sales teams losing hours to lead triage and enrichment, finance and ops teams buried in invoice or document processing, support teams needing consistent triage before human review, and founders who want hours back — not a chatbot on their homepage.
What is included
The shape of a typical engagement. We can adjust, narrow, or expand the scope before any work starts.
- Workflow mapping with the people who actually run it today
- Agent design — inputs, tools, decisions, fallbacks
- Tool integrations — APIs, email, CRMs, databases, internal systems
- LLM reasoning where judgment is needed
- Shadow-mode deployment — agent runs alongside humans, actions are reviewed
- Audit logs of every decision and action
- Human-in-the-loop checkpoints for high-stakes actions
- Clear kill switch — agents can be turned off cleanly
- Monitoring of cost, latency, and accuracy over time
How the engagement runs
One-week increments, running software every Friday, and a written scope you can keep.
Map the workflow
We sit with the people who run it today and write down every step.
Build the narrowest possible agent
One job, one toolset, observable.
Run in shadow mode
The agent proposes; a human approves. We measure agreement.
Turn it on for one user
Measure for two weeks, expand from there.
Document and handover
Runbook, logs, and a clear off-ramp.
What you walk away with
Everything is handed back. Your code, your accounts, your documentation.
- A working AI agent integrated into your tools
- An audit trail of every decision and action taken
- A runbook your team can use to operate and extend the agent
- Monitoring dashboards for accuracy, cost, and latency
- Source code you own
- A clean off-ramp if you decide to turn it off or rebuild
Why choose us for ai agents & automation
We start narrow — one agent, one job, fully observable
Every action is logged; nothing is a black box
Built on your tools and credentials — no proprietary lock-in
Realistic cost and latency expectations, not marketing demos
Same engineering-first process: weekly demos, fixed scope, full handover
AI Agents & Automation: frequently asked questions
Often paired with this work
The systems your agents integrate with.
Learn more →AI Development & IntegrationThe underlying LLM capabilities your agents use.
Learn more →Cloud Deployment & DevOpsSchedulers and queues that run agents reliably in production.
Learn more →Mobile App DevelopmentAgents accessible from a mobile app or field workflow.
Learn more →SEO ServicesContent and reporting workflows agents can support.
Learn more →Have a workflow that's eating your team's week?
Describe it in plain language — we'll come back with a focused automation plan.