Data entry & reconciliation
Stop re-typing the same record three times
Agents read source documents, validate against existing systems, and write back clean records — flagging anything that looks wrong instead of silently guessing.
01 / Automate — live in days
Agents that do the work, not just describe it.
We build AI agents that handle data entry, reporting, approvals, and lead research — reasoning through edge cases instead of breaking the first time something looks unfamiliar.
70%+average efficiency gain across deployments
<14dfrom kickoff to a live working agent
24/7agents run continuously, not on a schedule
What gets automated
Built for the work that piles up
Reporting
Reports that assemble themselves
Recurring reports get pulled, formatted, and distributed on schedule, with an agent watching for anomalies worth a human's attention.
Approvals & lead research
Routing and research, handled
Approval requests get triaged against your rules, and inbound leads get enriched with research before they ever hit a rep's queue.
How an engagement runs
From kickoff to a live agent
- 01Map the workflow
- 02Define edge cases
- 03Build & test the agent
- 04Ship & monitor
Questions, answered
Before you reach out
How fast can you deploy an AI agent?
Most teams get a working agent live in under two weeks, handling real tasks like data entry, reporting, or lead research — not sitting in a strategy deck.
What happens when the agent hits something it hasn't seen before?
Edge cases get flagged for a human rather than guessed at silently — the agent is built to know the boundary of what it should decide on its own.
Do you work with our existing tech stack?
Yes — we staff and build across Salesforce, AI/ML, cloud/DevOps, data engineering, full-stack, QA, cybersecurity, and product/design.