Qrambo connects to your stack.
Your tools, your data, your warehouse. The product does the work once it's wired in, nothing leaves your VPC unless you say so.
Enterprise AI automation,as familiar as Excel.
Your spreadsheets already run your business. Qrambo turns that buried logic into AI applications your team actually runs, with a human sign-off on every critical decision.
Trusted by teams shipping AI to production
What we do best
Every AI decision, signed by a human.
Your team steps in to approve or override AI output where it matters, with a full audit trail. Our forward-deployed engineers plug Qrambo into your stack and take you live in hours.
Engineers inside your operation.
Forward-deployed engineers integrate Qrambo to your operations, build your first flows on the same platform your team uses every day.
You own the intelligence layer.
Once it's live, you run it. Connect more data, add flows, build dashboards, tune access, track AI performance.
The problem
Your AI automation projects have already failed.
You've seen the demos and hired the ML team. Six months in, the pilot still lives in a sandbox, the same pattern across every ops team we've met.
Manual ops doesn't scale past headcount.
Operators paste between five tools all week. Hiring is the only lever, and it's the wrong one. Volume grows faster than any team you can staff.
Autonomous agents aren't trustworthy.
One bad refund hits the CFO's desk and the rollout dies for 18 months. Real workflows need a human in the loop.
Building it in-house takes a year.
Tool calling, evals, retries, audit trails, and the model changes twice before you ship. By then the ops team has moved on to the next fire.
With Qrambo we build and ship our own AI onboarding flows, by customer type and geography. Document collection runs on its own, and onboarding went from weeks to hours, which took the ceiling off how fast we can grow. Now we’re moving everything else off spreadsheets and onto Qrambo. It’s becoming the brain of the company.
30days
From kickoff to first pilot in production
median, last 6 cohorts
73%
Tickets auto-resolved without human touch
post-week-4 average
4.1s
Median time to escalate to a human supervisor
p99 · 8.2s
+1.4pts
Accuracy gain per week from supervisor corrections
vs. flat baseline of 78%
How it works
From messy spreadsheet to production agent.
Four steps, end to end. Most pilots are live in 30 days. We bring the operators, the eval harness, and the playbook, you bring the workflow that's been eating your team alive.
Connect your stack.
Salesforce, Zendesk, NetSuite, your warehouse, your custom internal tools. Agents use whatever your team already runs on. No data leaves your VPC unless you say so.
Qrambo maps your processes.
Drop in a process doc, a Loom, or three months of ticket history. We surface the bottlenecks, the decisions that eat hours, and the ones that need a human in the room.
Agents run. Humans review.
Routine cases run end-to-end. Edge cases, high-dollar approvals, and anything below confidence threshold route to a supervisor in seconds, not next morning.
The system gets sharper.
Every override becomes a labeled example. Every accepted answer reinforces the policy. Accuracy compounds the way headcount never could, and you can prove it on a curve.
Use cases
The boring, expensive workflows. The ones with real money in them.
Not chatbots. Not co-pilots. The grinds your ops team is already doing, done in minutes instead of days, with a clean audit trail behind every decision.
E-Commerce
Merchant onboarding
6,000 images a day and a 25-person QA bottleneck: the catalog-review flow that took time-per-task from 90 seconds to 1.5 and the team from 25 people to 5.
Fintech
KYB/KYC onboarding
A digital bank turned a 2-week KYB backlog into a 2-day, day-one-revenue flow, with a compliance reviewer on every approval.
Logistics
Order to cash
B2B order entry is copy-paste between email, PDF, and SAP. An agent handles the routine orders end-to-end and hands a human the exceptions, cutting 15 minutes to 30 seconds.
Media
Content operations
Stats for live broadcast, cuts, subtitles, and platform variants. The agent does the production pass; editors keep the final cut.
The engagement
A platform and a team. We own the outcome.
Most agent vendors ship you software and wish you luck. We configure the agents, embed the supervisors, and tie our pricing to the workflow's results, not seat count, not tokens.
Agents, console, audit trail.
- Workflow builder with a real eval harness, not a flow chart with vibes.
- Review console your supervisors actually want to use.
- Policy engine, fallbacks, rollback, branch-by-confidence.
- Deploy in your VPC. SSO, RBAC, encrypted at rest and in flight.
Engineers who own your rollout.
- A solutions engineer maps and instruments your workflow in week one.
- Trained supervisors handle the human-review queue 24/7, or train yours.
- Weekly accuracy review, documented model + policy changes.
- Pricing tied to volume and SLA. No per-seat. No surprise token bills.
Stop renting brains for repetitive work.
Book 30 minutes. Bring one workflow you wish was already automated. Leave with a scoped pilot, or a clear no.