Service
Autonomous and semi-autonomous agents that research, decide and act across your tools — with the orchestration, guardrails and audit trails to trust them.
The problem
Knowledge work is full of robot work
Your best people spend hours on triage, research, data entry and coordination — work that follows patterns a well-built agent can execute reliably.
Support tickets triaged by hand, one at a time
Research and reporting that consumes entire days
Processes stalling overnight waiting for a human click
Naive agent experiments that go off the rails without oversight
Our solution
Agents with judgment and boundaries
We build agent systems on LangGraph and Temporal: multi-step reasoning, tool use across your stack, human approval gates where stakes are high, and full audit logs.
Multi-agent orchestration with explicit state machines
Tool integrations: CRM, email, databases, internal APIs
Human-in-the-loop checkpoints for consequential actions
Durable execution that survives failures and restarts
Benefits
What this unlocks for you
Around-the-clock throughput
Agents process queues at 3am with the same care as 3pm — no backlog mornings.
Consistent quality
Every case handled by the same playbook, with escalation when confidence drops.
Full auditability
Every decision, tool call and data access logged and replayable.
Humans on the interesting work
Your team supervises outcomes and handles exceptions instead of grinding queues.
Technology
The stack behind the work
Chosen for reliability today and headroom tomorrow.
Our process
From first call to production
Workflow mapping
We shadow the real process — inputs, decisions, exceptions — before automating any of it.
Agent architecture
State machines, tool permissions and escalation rules designed for your risk profile.
Sandboxed pilot
The agent runs in shadow mode against real cases while humans verify every output.
Graduated autonomy
Approval gates loosen as measured accuracy earns trust, category by category.
Scale & monitor
Dashboards for throughput, accuracy and cost; continuous tuning as your business evolves.
Case study — B2B software
SaaS support organization
Challenge
A 40-person support team faced 6-hour first-response times and burned-out senior agents doing repetitive triage across 3,000 weekly tickets.
Solution
A triage-and-resolve agent system: classification, knowledge-grounded draft responses, autonomous handling of six safe categories, and human review gates for the rest.
58%
tickets resolved autonomously
6h → 4min
first response time
+23
NPS improvement in two quarters
FAQ
Common questions
Layered controls: strict tool permissions, spending and rate limits, human approval gates for consequential actions, and kill switches. Autonomy is granted per action type, based on measured accuracy — never all at once.
Ready to talk about ai agents?
One call is enough to know whether we're the right team. No pitch decks — just engineers who ask good questions.