Agents that get past the security review
Enterprise teams ship agent demos that never reach a real workflow. CreateOS forward-deployed engineers take your agents to governed production on the unified AI execution layer: every step planned, scoped to an autonomy level, policy-checked, validated, and audited.
Agents we put into production
Common governed agents we take live on the execution layer, each cited and auditable.
Legal
Litigation and compliance
From matter intake to contract close, governed AI agents do the document-heavy work, cite every source, and hand off to lawyers who decide.
Explore Legal36 use cases
- Litigation document reviewReview large litigation document sets for relevance, issues, and risk, with every call cited and logged.SuggestDocument managementeDiscovery platform+1
- Contract review and redliningCheck contracts against your playbook, flag risky terms, and propose redlines for a lawyer to approve.SuggestContract lifecycle managementClause playbook+2
- Clause extraction and comparisonPull key clauses across a contract set and compare them side by side, each linked to the source.SuggestContract repositoryClause library+1
- Deposition and transcript analysisTurn long transcripts into searchable summaries, key admissions, and contradictions, cited to the line.SuggestTranscript repositoryMatter management+2
- Case-law and regulatory researchResearch case law and regulation on point, with sources cited so a lawyer can verify every claim.SuggestCase-law databaseRegulatory library+2
- Privilege reviewFlag potentially privileged material across a document set, with reasons and a clear audit trail.SuggesteDiscovery platformPrivilege log+2
- eDiscovery cullingCut review volume by culling irrelevant material early, with every decision logged and reversible.ExecuteeDiscovery platformForensic collection+2
- Due-diligence data roomsRead an entire data room and surface the obligations, risks, and gaps a deal team needs.SuggestVirtual data roomContract repository+2
- Matter intake and timeline intelligenceTurn a full matter file into a structured, source-cited Timeline Brief, with conflicts checked and gaps flagged before the first strategy meeting.SuggestClient intake portalConflicts database+2
- Obligation and renewal trackingTrack contractual obligations and renewal dates across your agreements, with alerts before they lapse.WatchContract repositoryCalendar and reminders+2
- Brief and memo draftingDraft briefs and memos from your record and authority, cited throughout for a lawyer to finalize.SuggestCase-law databaseMatter management+2
- Citation checkingCheck every citation in a document for accuracy and support, and flag anything that does not hold.WatchDocument managementCase-law database+2
- Compliance policy QAAnswer policy and compliance questions from your own documents, with the source cited every time.SuggestPolicy libraryKnowledge base+2
- Contract generationGenerate first-draft agreements from your templates and approved clauses, ready for a lawyer to review.SuggestTemplate libraryClause library+2
- Regulatory filing reviewCheck filings against requirements before they go out, and flag gaps for a person to resolve.SuggestRegulatory libraryFiling portal+2
- Chronology and fact reconstructionBuild a source-cited timeline from mixed matter files and flag the evidentiary gaps a lawyer needs to close.SuggestDocument intakeOCR and transcription+2
- Witness statement preparationDraft witness statements grounded in the record, with every assertion cited for a lawyer to verify and own.SuggestMatter managementEvidence store+2
- Demand and response letter draftingDraft demand and response letters from the record and your templates, ready for a lawyer to finalize.SuggestMatter managementCorrespondence templates+2
- NDA and standard agreement processingProcess high-volume NDAs and standard agreements against your playbook, with every deviation flagged and logged.SuggestContract lifecycle managementClause playbook+2
- Legislative and regulatory monitoringMonitor legislative and regulatory sources for changes that touch your matters, each surfaced with a citation.WatchLegislative tracking feedsRegulatory publication sources+2
- Precedent and playbook buildingTurn your past work into a searchable precedent bank and keep playbook positions current, each linked to its source.SuggestDocument managementMatter management+2
- Risk and issues spottingRead a document set and surface the legal risks and open issues a lawyer should look at first, each cited.WatchDocument review platformData room+2
- AML and KYC document processingProcess AML and KYC documents against your requirements, flag gaps and discrepancies, and log every check.SuggestClient intake portalIdentity document store+2
- Regulatory change impact analysisMap a regulatory change to the policies, contracts, and obligations it touches, each finding cited for review.SuggestRegulatory change feedPolicy library+2
- Arbitration record buildingAssemble the arbitration record from filings and exhibits into a cited, navigable set for the team to rely on.SuggestArbitration case fileExhibit repository+2
- Expert report analysisAnalyze expert reports for assumptions, methods, and weak points, each cited for counsel to probe.SuggestExpert report repositoryCase law research database+2
- Tribunal submission draftingDraft tribunal submissions from the record and authority, cited throughout for counsel to finalize.SuggestCase recordLegal research database+2
- Multi-jurisdiction regulatory mappingMap how a requirement differs across jurisdictions and surface the conflicts a lawyer needs to resolve, each cited.SuggestRegulatory research databaseJurisdiction rule library+2
- Employment agreement generation and sendingGenerate employment agreements from your templates and approved terms, ready for legal to approve before they send.ExecuteHR information systemEmployment contract templates+2
- Offer letter automationGenerate offer letters from approved templates and role data, ready for an owner to review and release.ExecuteApplicant trackingCompensation bands+2
- Annual increment and compensation amendment trackingGenerate and track increment letters and compensation amendments, with every change logged for review.SuggestHR information systemPayroll+2
- ESOP and equity agreement managementGenerate and track ESOP and equity agreements against approved grant terms, with every action logged.SuggestCap table and equity managementGrant agreement templates+2
- NDA and confidentiality agreement workflowsRun the NDA and confidentiality agreement lifecycle from draft to signature, with every step logged.SuggestNDA template libraryE-signature+2
- Termination and separation agreement draftingDraft termination and separation agreements from approved terms, ready for legal to review and own.SuggestHR case recordsPayroll and final settlement+2
- HR policy QA and compliance reviewAnswer HR policy questions and check workforce documents against policy, with the source cited every time.SuggestHR policy libraryEmployee help desk+2
- Joining and onboarding document processingProcess joining and onboarding paperwork against your checklist, flag what is missing, and log every step.SuggestOnboarding checklistHR information system+2
Where agent projects actually stall
Agents demo well and stall at the security review. Point tools stop at routing and eval tools stop at observability. CreateOS unifies routing, governance, output validation, and observability in one path, which is what closes the gap.
- 95%
of organizations report no measurable return from generative AI.
MIT NANDA survey, 2025
- 77%
of enterprises already run AI agents, then hit the infrastructure wall.
McKinsey, 2025
- ~5
agents is where coordination breaks without a system underneath. Orchestrators in production average ~12.
HFS Research, 2025
What we deliver
Agents built for production from the first call, not a demo that stalls at security review.
- Single-agent buildWe scope, build, and ship one agent: the task defined, the tools wired, the prompt hardened, and the output validated before it touches a real workflow.
- Multi-agent orchestration and handoffCoordinated agent teams that plan, delegate, and hand off cleanly. Routing decisions are logged, handoffs are explicit, and no step is a black box.
- Autonomy controls and approval gatesEvery agent is scoped to an autonomy level. High-stakes steps pause for a human decision. Per-agent budgets and sandboxing keep risk contained.
- Tool and system integrationAgents connect to your systems of record, APIs, document stores, and data sources. Integration is governed and access is scoped to least privilege.
- Governance and output validationPolicy enforcement and PII masking run on every agent response before it reaches a user or downstream system. Hallucination checks are configured per agent.
- Observability and audit trailEvery agent call is logged with execution traces, decision lineage, and a full audit record, so a security or compliance team can inspect any run.
How an engagement works: The Production Path
A staged path from concept to governed production. Value lands early and governance holds at every step.
- 01DiscoverWe pick the highest-impact agent use case, scope it, and produce a build spec and production roadmap. Fixed pricing agreed in writing.
- 02ProveWe stand up a scoped agent proof of concept on the execution layer, governed from the first call, to prove value against your own data.
- 03ProductionizeForward-deployed engineers harden it: routing, policy enforcement, output validation, autonomy controls, and a full audit trail.
- 04ScaleIt goes live, then spreads. Model lifecycle management, monitoring, and improvement on the layer you keep.
Proof: a litigation agent in beta
CreateOS built a litigation intelligence agent that turns raw matter files into a source-cited Timeline Brief before the first strategy meeting. The agent reads mixed document types in full, contracts, notices, emails, handwritten notes, and scanned annexures, extracts the dozen clauses that bear on the live question from a 400+ page contract, and builds a chronology with every entry linked to its source page. Forward-deployed engineering on the governed execution layer, deployed to CreateOS cloud, firm environment, or fully on-premise.
- 40%
Target: less manual Timeline Brief preparation time, subject to matter complexity and document quality.
- 12
Relevant clauses surfaced from a 400+ page contract, each with surrounding context preserved.
- 3
Deployment modes: CreateOS cloud, firm environment, or fully on-premise, with zero data retention by default.
Why CreateOS for AI agents
- Governed from day onePolicy enforcement, output validation, and a full audit trail are on from the first call, not bolted on before the security review.
- Engineers who ship onto a platform you keepForward-deployed engineers embed with your team and ship onto the unified AI execution layer we operate. The engagement ends; the governed layer stays.
- Autonomy you controlEvery agent is scoped to an autonomy level with approval gates and per-agent budgets. You can see, stop, scope, or sandbox any agent.
- You own everythingAll code, models, and IP are yours outright. We document everything and train your team.
Common questions
What does an AI agents engagement with CreateOS cost?
Engagements run on fixed-scope pricing, not hourly retainers. A discovery sprint and first proof of concept scope is agreed in writing before any build begins. Larger ongoing builds run on milestone-based contracts. Cost depends on the number of agents, integration depth, and deployment mode.
How long does it take to get an agent to production?
The standard rollout is 12 weeks in three gated phases: Discover (weeks 1 to 2), Prove (weeks 3 to 6) and Productionize (weeks 7 to 12). An early manufacturing proof of concept ran for 75 days across four states. Simpler use cases can go live in under two weeks.
We already built agents. Can you take them to production?
Yes, that is the most common engagement. Bring agents from any framework or builder. We wire them into the governed path, add the policy enforcement and audit trail your security team requires, and stand them up in your environment.
Who owns the IP after the engagement?
All code, models, data pipelines, and IP are yours outright. We document everything and train your internal team to manage what has been built.
Where does our data live and how is it protected?
In your environment. CreateOS runs in your VPC or on-premise, with region-locked compute and zero data retention by default, so regulated data never crosses a border you did not approve. All agents operate under policy enforcement and access controls from the first call.
How do you prevent agents from hallucinating or leaking data?
Output validation and PII masking run on every agent response before it reaches a user, and hallucination checks are configured per agent. Access is scoped to least privilege, and every call is logged with an audit trail.
What makes this different from hiring an AI consultancy or building in-house?
A consultancy hands you a build on tools it does not control and leaves. CreateOS delivers on the execution layer we operate ourselves, so routing, governance, output validation, and audit stay enforced after the engineers roll off. Building in-house means staffing for context engineering, evaluation, and ongoing governance work that most teams underestimate. The governed layer stays after the engagement ends.
Where do you want to start?
Bring one stuck agent proof of concept. We will take it to governed production on the execution layer.