Bring one business process. We map it, identify the highest-value agent opportunity, build the workflow, connect the tools and approvals your team already uses, and operate it in production — with humans in control where it matters.
Agents return work to the tools your team already operates in — not a separate AI app.
A demo isn't a workflow. A prompt isn't an operation. Golem Workers starts from the business process — its inputs, owners, bottlenecks, approvals, and downstream systems — and only then decides where an AI agent earns its place.
Five operational stages every Golem Workers engagement is structured around. Select a stage to see what lives inside it.
Specialized agents that reason, call tools, prepare work, and coordinate tasks across systems — built for one process, not for everything.
Six disciplines we bring to every engagement. They map directly to the operational risks a serious business has when introducing AI into real work.
We sit with the team. We map inputs, owners, exceptions, current cycle time, and where quality breaks today. Before any model is chosen.
Specialized agents that reason and call tools — versioned, testable, replayable. Not a prompt living inside a chat window.
Agents read and write inside CRM, ticketing, docs, email, data warehouse, and internal tools — using your auth, your scopes, your audit trail.
Confidence thresholds, human approval gates, escalation rules, and a full audit log. Operations stay accountable, not opaque.
Live monitoring, error budgets, drift detection, regression evals, and a named on-call engineer. The agent has an owner.
Your data stays inside your perimeter where it must. Deployment in your cloud, isolated environments, configurable retention.
Usually up to six weeks to a live pilot. Enough time to test measurable business metric movement without turning it into a transformation program. One process, one pilot, one credible path to production.
We sit with your team. We document the current workflow — owners, inputs, outputs, exceptions, current cycle time, current cost.
We pick the single highest-value agent moment. We define the business metric to move, the approval policy, and the production exit criteria.
We engineer the agent inside your tools and data. Versioned, tested, evaluated, with confidence thresholds and approval gates wired in.
We launch in shadow mode, then in supervised mode, then in production. Real traffic. Real outcomes. Real measurements.
We monitor, evaluate, fix regressions, expand scope, and stay accountable for the business metric the pilot promised to move.
Agents touching real workflows have to behave like the rest of your production infrastructure. These are the guardrails we wire in before anything sees a live customer.
Agents operate inside scoped credentials. Access is auditable, revocable, and aligned to your existing SSO and IAM.
Approvals on monetary thresholds, customer-facing replies, irreversible actions, and anything your business defines as sensitive.
Every input, decision, tool call, and outcome is logged and replayable. Nothing the agent does is opaque to your team.
Run in your cloud account when needed. Data residency, retention, and isolation configured to your compliance posture.
SLOs, error budgets, evaluation regressions, and live drift detection. We catch problems before your customers do.
Every production agent has an owner from our team. You don't reach a ticket queue. You reach the person who built it.
Tell us the workflow that's slowing your team down. We'll review it, confirm whether it's pilot-ready, and send back the fastest credible path to production.
Submit one real process and we will review where an AI agent can create measurable operational leverage.
What work slows the team down today.
Who handles it and how many people are affected.
The business outcome the pilot should move.
Process descriptions are treated as confidential.
Practical answers. No hype. If you don't see your question, just write it in the pilot request — we answer those personally.
