AI agents for the boring, repetitive work your team is doing manually.
Custom AI agents for internal operations — expense classification, document extraction, status reports, approvals, onboarding, vendor management. The work that doesn't make slides but eats hours.
The work you'd most want to automate isn't on any vendor's roadmap.
Every business has a long tail of internal ops: someone classifying invoices, someone updating a CRM with deal notes from calls, someone drafting weekly status reports, someone triaging IT requests, someone onboarding new vendors with the same five forms.
Off-the-shelf tools each handle one slice — Zapier for plumbing, Airtable for tracking, Lever for hiring, Concur for expenses. None of them handle the long tail. And the long tail is where most of your team's time actually goes.
Build agents for the work you'd most like to stop doing.
We build custom internal-ops agents for the specific workflows your team is currently doing by hand. Connected to the systems your team already uses. Handling the 80% case automatically and escalating the 20% to humans with full context.
We use this pattern in our own ERP — agents for triage, scope estimation, and status reports. Same patterns apply to almost any repetitive internal work.
The shape of capabilities we build into agents for this use case. Yours may need a subset; we scope in discovery.
Expense classification
Credit card / bank transactions classified to your chart of accounts. Outliers flagged. Receipts attached via email/Slack.
Invoice / document extraction
Extract line items, totals, terms from PDF invoices into your accounting system. Vendor matching, exception handling.
Meeting → CRM updates
Transcripts (from Otter, Fireflies, Zoom) parsed into deal notes, next steps, and CRM field updates. Reviewed before commit.
Status reports
Pull from your project tool, ERP, support system, and CRM. Generate weekly status reports per client or project. Drafted, reviewed, sent.
Approval workflows
Route requests (purchase orders, time off, expense reports) through approval chains. Context-aware — the agent gathers the supporting data approvers usually ask for.
Onboarding agents
Walk new hires (or new vendors) through forms, document uploads, system setups. Answer questions. Escalate to humans on edge cases.
Calendar negotiation
Schedule meetings across people, time zones, and constraints. Handle reschedules. Send prep emails.
Internal help desk
First-touch responses to internal IT, HR, finance questions. Answers from your wiki and policies. Escalates the genuine cases.
Anomaly monitoring
Daily checks on key metrics, transactions, or workflows. Alerts when something looks off, with the data context.
How the agent ships.
Same structure for every agent build. Predictable timelines, fixed scope.
- 01
Discover
1 week. Real workflow, real data, what 'good' looks like. We pick what the agent owns and what humans keep.
- 02
Architect
1 week. Tool inventory, model choice, memory strategy, escalation rules, eval criteria — written and reviewed.
- 03
Build MVP
2–3 weeks. Working agent handles the happy path against real data. Observability and human-review UI from day one.
- 04
Harden
2–4 weeks. Edge cases, evals, monitoring, training, gradual rollout. Production-ready.
- 05
Run
Optional retainer. Model upgrades, prompt tuning, new tools, scope expansions.
The architecture you'd be getting.
Yes. We integrate with whatever you already use — Notion, Linear, Jira, Asana, Slack, Microsoft 365, Google Workspace, QuickBooks, Stripe, HubSpot, Salesforce, your custom systems. If it has an API, we can wire it in.
Roughly: if it happens 5+ times a week and takes 10+ minutes each time, it's worth a look. That's 50 hours a year. A focused agent ($12–20k) pays back in under a year for most of these.
Usually it changes what your team does, not how many you have. The work that gets automated is the work nobody enjoyed doing anyway. Your team moves up to higher-judgment work, which is also higher-value.
Every agent action is logged with who triggered it, what data it used, and what it did. Approval gates for any action above a threshold (dollar amount, sensitivity, irreversibility). Audit-ready by design.
Same pattern as our other agents: structured outputs, confidence thresholds, human review on low-confidence cases, observability so you can debug. The agent fails safely — defaulting to escalation, not auto-action.
Want a internal operations agent for your team?
Tell us the workflow, the volume, and the systems involved. We'll come back with what we'd build, how it would handle the edge cases, and a fixed quote.