agents built on frontier coding models
Your business,
on autopilot.
We build custom AI systems — autonomous agents on top of Claude- and Codex-class models — that automate the repetitive work slowing your team down.
ncode — agent session
$ ncode run invoice-agent
→ scanning inbox… 38 invoices found
→ extracting line items… done
→ matching purchase orders… done
→ flagging 2 mismatches for review
✓ 36 invoices posted to ERP · 4h 20m saved
$
What we build
// capabilities/01Autonomous agentsGoal in, finished work out. We build OpenClaw- and Hermes-style agent systems that plan multi-step tasks, execute them with tools, and verify their own output before it ships.
/02Workflow automationDocument processing, data entry, reporting, triage — the recurring work that eats hours, running unattended on a schedule or a trigger, with a human in the loop only where it counts.
/03Deep integrationsWired into email, CRM, ERP, Slack, and your databases — agents act inside the systems your business already runs on. No new dashboard to check.
Watch an agent work
// live · pick a workflowEvery system we ship runs the same loop: understand the task, act with tools, verify its own work. Here it is — slowed down enough to watch.
src: inbox
INV-2041
read_pdf
po_match
netsuite
{}AGENT
dst: ERP ledger
INV-2041✓
INV-2041✓
INV-2041✓
⚑ human review
edge cases go to people
INV-2041
INV-2041✓
INV-2041
INV-2041✓
INV-2041
INV-2041✓
INV-2041
INV-2041⚑
$ invoice-agent: reads the inbox → extracts & matches → posts to ERP · mismatches go to a person
How it works
// four steps, weeks not monthsstep_1
Audit
We sit with your team and map where the hours actually go. You get a ranked list of what's automatable — free.
step_2
Prototype
A working agent on your real data in 2–4 weeks. You watch it run before you commit to anything.
step_3
Deploy
Integrated with your stack, secured in your environment, monitored in production from day one.
step_4
Iterate
The system learns your edge cases and expands to the next workflow. We stay on until it runs itself.
Where agents earn their keep
// use casesFinance ops
Invoices → ERP, untouched
Intake, extraction, PO matching, posting. Mismatches get flagged to a human; everything else just happens.
$ ncode run invoice-agent
✓ 36 posted · 2 flagged for review
Support
Every ticket triaged, replies drafted
Agents classify, route, and draft answers from your docs and past tickets. Your team reviews and sends.
$ ncode run support-agent
✓ 89 triaged · 61 replies drafted
Sales ops
A CRM that keeps itself clean
Records enriched, calls logged, follow-ups drafted, pipeline reports written — before Monday's standup.
$ ncode run crm-agent
✓ 214 records updated · report sent
plays well with your stack · Gmail ✦ Outlook ✦ Slack ✦ Notion ✦ Salesforce ✦ HubSpot ✦ Zendesk ✦ Jira ✦ Google Sheets ✦ Postgres ✦ Stripe ✦ NetSuite ✦ plays well with your stack · Gmail ✦ Outlook ✦ Slack ✦ Notion ✦ Salesforce ✦ HubSpot ✦ Zendesk ✦ Jira ✦ Google Sheets ✦ Postgres ✦ Stripe ✦ NetSuite ✦
// do the math
What's the boring work costing you?
Drag the sliders. We assume agents take roughly 70% of the load — conservative for well-scoped workflows.
team_hours_per_week_on_repetitive_work40 h
avg_loaded_hourly_cost$45 /h
hours_recovered_per_year
1,456 h
cost_recovered_per_year
$65,520
≈ full_time_roles_worth_of_time0.8
Built to be trusted
// guardrails, by defaulthuman_in_the_loop
People approve what matters
Agents draft and do; humans sign off at the checkpoints you define. Nothing irreversible happens alone.
your_cloud
Runs where you say
Deploy in your VPC or ours, with least-privilege access to every system the agent touches.
full_audit_log
Every action, logged
A replayable trail of every step, tool call, and decision — so you always know what happened and why.
no_training
Your data stays yours
Your data is never used to train models. Contractually, not just as a promise.
Questions
// faq// no slide decks, no fluff — just a working prototype
See an agent run on your own workflow.
Tell us what your team does by hand every week. We'll tell you what an agent could take off their plate — and prove it with a prototype.
hello@ncodelab.com