Map
Map the real process.
Document the steps, systems, inputs, decisions, exceptions, and handoffs your team runs today.
Automate your back office with AI team members.
Give AI team members defined roles, clear authority, and human handoffs across the processes you already run.
Book a demo
Bring a process. Map it live.
Operations queue
Live work
12open
24completed today
1needs your team
Renewal review
New application
Approval required
Case review
Completed case
Operating leverage
Take on more business without taking on more overhead.
As volume grows, so does the work behind it: documents to review, information to collect, follow-ups to send, exceptions to resolve, approvals to route, and cases to close. Traditionally, more volume means more back-office payroll. Regisseur gives AI team members that work so you can grow without adding cost at the same rate.
Traditional growth
01More customers
→02More paperwork
→03More hires
→04Higher overhead
With Regisseur
01More customers
→02AI absorbs more work
→03Your team handles exceptions
→04Lower cost per case
What AI team members actually do
From intake to completion, they keep the case moving.
AI team members can review documents, gather missing information, follow up, resolve routine exceptions, route approvals, update systems, prepare files, and complete the next step without waiting for an employee to move the process forward.
AI team memberIntakeOpen the case
AI team memberReviewRead documents
AI team memberGatherCollect what is missing
AI team memberFollow upKeep the case moving
Your teamApproveMake the reserved call
AI team memberCompleteUpdate and close
AI owns the repetitive coordination.Your people stay focused on judgment, exceptions, relationships, and risk.
How Regisseur works
One process. A team of humans and AI.
AI team members own the work you delegate. Your people keep the decisions, relationships, exceptions, risk, and judgment you reserve for them. Regisseur keeps both inside the same process, with the tools, limits, handoffs, approvals, and record needed to finish the work.
Every performer needs a stage. Regisseur is the stage manager.
Inside Regisseur
See the process, the work, and the handoffs in one place.
Each case keeps the process, AI work, human decisions, and record connected from start to finish.
Process graphCase steps stay visible from intake through completion.
Human reviewWork that crosses a limit waits for the right person.
Case recordHuman and agent activity stays attached to the same case.
Real product runs
Watch the work get finished.
InsuranceLendingHR + ITLegal & professional services
Insurance · Underwriting02
Three applicants. Three outcomes. Human sign-off where it matters.
The same underwriting workflow handles fast track, standard review, and decline paths while keeping issuance behind a named reviewer.
View demoLending · Autonomy04
Application to funded, with one human credit decision.
The file moves through documents, analysis, approval, signature, and funding without employees coordinating every step.
View demoHR + IT · Connected processes05
One new hire moving through three connected processes.
HR and IT work stays connected as onboarding moves across documents, systems, approvals, and follow-up.
View demoImmigration law · Legal & professional services06
Documents, filings, deadlines, and attorney review in one running matter.
Matter work moves forward while deadlines, approvals, evidence, and attorney judgment stay visible on the record.
View demoThese are demonstration runs, not customer case studies. The companies, people, and case data are fictional. The published screenshots come from real Regisseur product runs.
Who Regisseur is for
Built for businesses where growth creates more back-office work.
If every new customer creates another file to open, document to chase, review to complete, approval to route, follow-up to send, or system to update, you have the shape of work Regisseur is built for.
High case volumeMore customers create more operational work.
Paperwork and documentsFiles need to be collected, read, checked, and moved.
Repeated follow-upEmployees spend time chasing people and missing information.
Manual reviewRoutine review consumes expensive staff capacity.
Approvals and exceptionsThe standard path can run while judgment stays with your team.
Multiple systemsPeople are manually carrying work from one tool to the next.
InsuranceLendingHR + ITLegal & professional servicesFinance operationsOther paperwork-heavy businesses
How you start
Map. Run. Prove.
Bring one real process. Map how it runs today, put AI team members to work inside explicit limits, and use the operating record to decide what should happen next.
Run
Put the first team to work.
AI team members take the delegated work inside the permissions, rules, checks, and human gates you define.
Prove
Measure what actually happens.
Track completion, intervention, quality, speed, and cost. Expand delegation where the record supports it.
OutputProcess map
OutputFirst running process
OutputPerformance record
Why Regisseur
The model reasons inside the box. Regisseur controls the box.
You define the tools, permissions, required inputs, thresholds, authority limits, and human gates. Regisseur validates what happens before actions are taken, keeps a replayable case record, and uses actual performance to determine where more autonomy is appropriate.
Hardened execution
The model reasons inside the box. Regisseur controls the box.
Probabilistic reasoning can be useful without letting probabilistic behavior control the whole process.
Before model judgmentConstrain the inputs.Required data, approved tools, explicit schemas, business rules, and allowed actions.
Model judgmentReason where reasoning is useful.The LLM handles the cognitive step. It does not get to redefine the process around it.
After model judgmentVerify before action.Validation, thresholds, execution ceilings, human gates, recovery paths, and a replayable record.
Autonomy earned
Measure how much work finishes without a person touching it.
Historical performance gives you the operating signal that matters: independent completion. Raise the ceiling when the evidence supports it. Keep a human gate where it does not.
Illustrative run historyIndependent completion
Week 1
44%
Week 4
68%
Week 8
86%
Illustrative only. The point is the control loop: autonomy changes because the record supports it, not because someone assumes the model is ready.
Model economics
Use the right model for the job, not the most expensive model by default.
Run the same agent against multiple models. Compare quality, consistency, latency, and cost. Spend more only when the work actually requires it.
Model classQualityCostUse
SimplePassLowestSelected
FastPassLowLatency-sensitive
Premium reasoningPassHighestComplex work
Like staffing a team: use the associate for work the associate can do well, pull in the specialist when complexity demands it, and use the faster operator when speed is worth the extra cost. Regisseur applies that logic across models.
The economic outcome
Scale the operation, not the overhead.
Bring us a real process and see what AI can own, where your people should stay in the loop, and how Regisseur could help you handle more volume without building the back office at the same rate.
Book a demoBring one process you run every week.