Each walkthrough is assembled from screenshots of a real end-to-end run — real cases, real agent executions, real approvals — captured from live browser sessions. No staged UI. No mocked data. Every AI demo gets applause; these are the runs that closed the case.
Eight flagship reports lead. More operations follow — each with its intake trigger, agent reasoning, human review gates, and system writes, start to finish.
A customer applies for term-life insurance on a public website and agents run the entire case — application, lab analysis, underwriting classification, policy issuance — all the way to Policy Issued. The only pauses are honest ones: waiting on external document uploads. Full autonomy where you’ve earned it, human gates where you haven’t.
One underwriting pipeline, run end-to-end for three real applicant profiles: a clean case rated Preferred Plus, an elevated-risk case rated with a table charge, and a case the engine declines — citing the exact disqualifying conditions from the attending physician’s statement, word for word. Policy issuance pauses for a human underwriter’s sign-off before anything goes out the door. Every screen is from one real recorded run.
A security reviewer’s walkthrough of the guardrails around every agent: a real eval suite scored by a blind-calibrated judge, drift caught against run history, a per-case circuit breaker tripped and reset live, the workspace-wide Emergency Brake pulled and released, and one log where every safety action — trips, resets, brake activations — lands on the record. Captured live, including what we found and fixed along the way.
A business owner applies for a $250,000 equipment loan on Woodgrove Bank’s public site, and agents run the file — business verification, financial analysis, credit pull, and risk grading — right up to a single human credit decision. The underwriter approves by replying to an email; the loan then moves to signed documents and funding, every step on the record.
One hiring event carries a candidate through three chained processes — hire, onboarding, system access — composed over real webhooks, with six human approval gates. A manager approves a gate by replying to a message and the downstream process unblocks on screen. The work moves between processes without anyone re-keying, re-attaching, or chasing status.
Four real matters at one immigration firm. An H-1B extension runs through document collection, a generated I-129, an attorney review gate, USCIS filing, and a Request-for-Evidence chase to Petition Approved. A removal-defense matter where a hearing deadline is missed, detected as an SLA breach, escalated, and resolved. A general consultation that clears an attorney accept/decline gate and automatically spawns a brand-new matter. And a citizenship N-400 where every eligibility number is computed on the record — not guessed.
At a trust company: a public referral is triaged and automatically spawns the right matter; a full California probate runs from a self-filling DE-111 petition through a trust officer’s email approval, court filing, and statutory deadlines computed from the letters-issued date — with the inventory deadline deliberately missed, detected, escalated, and resolved — then claim review, pro-rata distribution, final accounting, and Estate Closed. Plus a small estate where §13100 eligibility is computed, not guessed. Every date and dollar is a deterministic calculation; officers and counsel decide.
What the humans see: the My Work queue, approving and completing tasks inline, the morning digest, SLA budgets and escalation ladders, and per-case cost on the dashboard. Your team gets one queue, not eleven tabs.
All companies, people, and cases shown are fictional and generated for demonstration. Every screenshot is unedited output from a real run of the Regisseur platform — nothing is staged or mocked up.
An operations lead opens a blank canvas and draws a four-step Beneficiary Change workflow — intake, an AI risk assessment, a manager approval, change effective. She builds the agent for the assessment step with AI-assisted prompt drafting and a deterministic read-reason-write pipeline, tests it in simulation with a real model call and no side effects, binds a real intake PDF, then creates a real case and watches the platform run it end to end — agent assessment, human review, manager approval, done. No engineering team, no staged data.
Every frame is a real screenshot from one continuous build-and-run session against a live environment — the workflow, agent, form, and case were all created during the session shown. Companies and people are fictional; the operator account is real.
An HRIS hire event becomes a provisioned, welcomed, cross-process-handed-off employee. HRIS webhook → intake + planning → manager approval → equipment provisioning → live ServiceNow handoff → onboarding package + completion.
An HRIS termination event becomes a fully revoked, closed-out departure. HRIS intake → IT footprint analysis → access revocation across AD, Azure, and applications → M365 data transfer → compliance review → HRIS writeback.
A ServiceNow ticket triggers policy validation, manager approval with pre-attached SOX / ISO 27001 reasoning, and simultaneous provisioning across AD, Azure AD, and the target application. LLM-generated work note. Auto-closed ticket.
A ServiceNow incident is classified against the CMDB and knowledge base. A remediation plan is built and reviewed by a tech lead before anything changes in production. Remediation runs through Intune. Closure writes back to ServiceNow.
Bring us the process, the systems of record, and the risk constraints. We will run the same cases with your data and show you where Regisseur fits — or does not.