Sentient Start
AI governance for startups, built as a working operating system
Sentient Start establishes the operating records, controls, decision history, change traceability, and evidence structure AI-enabled companies need to remain governable, diligence-ready, and capable of independent assurance.
A productized governance foundation for founder-led, startup, and growth-stage companies. Sentient configures it inside your working environment and commissions it on real work.
01
- Product
- Configured
- Commissioned
What Sentient Start is
A product, configured and commissioned for you.
Sentient Start is a defined product, not an open-ended engagement. It has a set structure of operating records, controls, and review paths that Sentient configures to your systems, your team, and your risk.
The output is a working governance operating system your company runs. Governance is built into the tools and workflows the team already uses, so approvals, controls, and evidence come out of the work itself.
Start is a commissioned governance foundation.
What Start is not
- A maturity assessment
- A policy binder
- An audit
- An assurance opinion
- Advisory documentation left for your team to implement
Built, configured, commissioned
02
- Founders
- Startups
- Growth
Startup and growth-stage AI governance
Real governance, without enterprise bureaucracy.
Start is built for founder-led, startup, and growth-stage companies that build with AI, sell AI products, or rely on AI in consequential work.
The trigger is not company size. It is the point at which AI use, automation, authority, or external scrutiny begins to outrun the governance around it.
Start sizes governance to the company you are now and leaves room to grow, instead of importing a program designed for a large enterprise or retrofitting one later.
Sentient establishes the ownership, controls, evidence, and review structure before diligence exposes the gaps.
Moments that call for Start
- AI use is expanding faster than ownership and controls
- Agents or automations are taking on consequential authority
- A governance gap an investor will ask about
- Enterprise buyers testing product claims and AI handling before they sign
- Underwriting questions about where AI touches consequential decisions
- A partner or buyer demanding proof
- A product claim the evidence cannot yet support
03
- Records
- Authority
- Controls
- Evidence
What gets built
The governance operating system, in working parts.
Six modules, configured to the AI systems and risks you actually have.
01
Systems and ownership
AI system inventory
A current register of the AI systems, models, agents, and vendors in use, each with one accountable owner and a defined boundary for what it is approved to do, set out in an AI acceptable-use policy your team can follow.
- AI system inventory
- Ownership records
- Approved-use boundaries
02
Decisions and authority
Decision rights
A record of consequential approvals and who made them, with clear limits on what people, agents, and automations are authorized to decide or change.
- Decision and approval records
- Authority boundaries
03
Controls and oversight
Human oversight
A register of the controls that matter for each system, who runs them, and where a person must review an output or action before it takes effect.
- Controls register
- Human review requirements
04
Escalation and exceptions
Incident and exception handling
Defined paths for raising a problem to the right owner, and a record of each exception: what was allowed, by whom, and until when.
- Escalation paths
- Exception records
05
Change and risk
AI change management
Traceability from a change to a model, prompt, data source, or vendor through to its approval and release, alongside risk records that name each risk, its owner, and its treatment.
- Change and release traceability
- Risk records
06
Evidence and cadence
Evidence by design
An evidence structure that captures records as the work happens, and a regular review rhythm that turns them into an operating history independent reviewers can examine.
- Evidence structure
- Governance cadence
- Assurance-ready operating history
04
- Notion
- Airtable
- Your tools
Where Start lives
Built in your working environment, not delivered as a PDF.
Start is implemented in the tools your team already works in, such as Notion or Airtable where they fit. The records sit next to the work, so updating them is part of doing the work.
A static package goes stale the week it is delivered. A working system stays current because the team uses it to approve changes, record decisions, and raise exceptions.
What that means in practice
- Records your team updates in daily work
- Owned and administered by your company
- Connected to the workflows where decisions happen
- Structured to expand as the company grows
Client-owned operating environment
05
- Scope
- Configure
- Commission
- Operate
Scope and delivery
A bounded implementation with a defined end point.
Start runs as a scoped implementation that ends when the system is commissioned, not as a standing advisory relationship.
01
Defined scope
Systems in scope
Sentient and your team agree which AI systems, agents, and automations are covered and which records and controls each one needs.
02
Configuration
Bounded implementation
Sentient configures the operating records, control paths, and evidence capture in your environment, working with the people who will own them.
03
Commissioning
Exercised on real work
The system is tested against real decisions, changes, and exceptions before it is called ready.
04
Handover
Client ownership
Owners know their records, reviews, and escalation duties. The system belongs to your company from the first day.
05
Ongoing governance operations
Optional
After commissioning, Sentient can keep the records, controls, and cadence current as systems and authority change. Start does not depend on it.
06
- Records
- Owners
- Evidence
- Ready
Commissioning and the end state
Commissioned means ready for actual use.
Commissioning is the point at which Start stops being a build and becomes the way your company governs AI.
When Start is complete, your company has a functioning governance operating structure, not a set of recommendations. Owners run it, the work generates its records, and an operating history accumulates from that day forward.
Sentient does not audit, certify, or guarantee an assurance outcome. Start prepares the operating environment so independent review has something real to examine.
Audit or diligence on the calendar? AI assurance readinessStart does not manufacture assurance. It makes assurance possible.
Commissioned when
- The operating records exist
- Roles and owners are assigned
- Control paths are configured
- Evidence capture works
- Review and escalation paths have been exercised
- The system is ready for actual use
Prepared, not manufactured
07
- Startups
- Growth
- Commissioned
Questions, answered
AI governance for startups, answered.
What is AI governance for startups?
AI governance for startups is a governance structure sized to a small, fast-moving team: an AI system inventory, owners, approved-use boundaries, decision records, human review points, change traceability, and evidence. It runs in the tools the team already uses, not in a policy binder.
AI governance, explainedWhen does a growing AI company need formal governance?
When AI use, automation, authority, or external scrutiny starts to outrun the governance around it. Common signs are agents taking on consequential authority, enterprise buyers sending AI governance questionnaires, investor diligence, and insurer questions about where AI touches decisions.
What does Sentient Start establish?
Six working modules: systems and ownership, decisions and authority, controls and oversight, escalation and exceptions, change and risk, and evidence and cadence. Sentient configures them in your working environment and commissions them on real work.
What does the client have when commissioning is complete?
A functioning governance operating structure the company owns. The records exist, owners are assigned, control paths are configured, evidence capture works, and review and escalation have been exercised. From that day, the work builds an operating history independent reviewers can examine.
08
- Discuss
- Design
- Implement
- Operate
Be ready before they ask
Build the governance foundation before the next customer, investor, insurer, partner, or buyer asks for proof.
Sentient Start establishes the records, controls, decision history, traceability, and evidence structure needed to answer those questions with something real.