AI governance consulting & implementation
AI governance,implemented.
Sentient helps companies put AI governance into operation across AI systems, agents, and automation.
We establish ownership, operating controls, human review, authority boundaries, evidence, escalation, and change traceability so governance exists in practice, not only in policy.
- Ownership
- Authority
- Controls
- Evidence
- Review
- Escalation
For companies deploying AI, scaling automation, or preparing for diligence
01
- Adoption
- Authority
- Ownership
- Evidence
- Scrutiny
Why companies call Sentient
Call Sentient when AI use, automation, authority, or external scrutiny begins to outrun the governance around it.
Sentient helps founder-led, growing, and established companies close the gap between how they use AI and how well it is governed.
Often the pressure starts inside the company. AI adoption is moving faster than governance. Agents or automations are gaining meaningful authority. Ownership or accountability is unclear. Controls, review, or escalation paths are incomplete. Evidence is fragmented.
Sometimes it starts outside: diligence, assurance, customer, investor, insurer, auditor, or regulatory scrutiny is approaching.
Founder-led and growth-stage companies
The product is gaining influence. Claims are becoming more ambitious. Investors, partners, enterprise buyers, and insurers are beginning to ask harder questions. Sentient establishes the ownership, controls, evidence, and review structure before diligence exposes the gaps.
Established and lower-middle-market companies
The company has accumulated enterprise-level obligations without enterprise-level governance infrastructure. Sentient connects AI use, customer commitments, vendors, security, risk, evidence, and executive authority without imposing unnecessary bureaucracy.
Corporate AI and automation teams
Teams need to develop and deploy AI-enabled workflows without losing visibility into permissions, human review, evidence, change authority, and runtime control. Sentient defines and helps operationalize the governing layer around that work.
The trigger is not company size
It is the point at which governance stops keeping pace with how the company uses AI, or with who is asking for proof.
02
- Ownership
- Controls
- Evidence
- Cadence
What Sentient implements
The structure a company needs to stand behind itself.
Sentient implements the ownership, authority, controls, review paths, evidence, escalation, change traceability, and recurring operations required to govern AI systems, agents, and automation in practice.
We design and build governance into the tools, workflows, and processes teams already use, so controls, approvals, evidence, and review are generated through doing the work rather than by additional tasks.
01
Systems and dependencies
What the company relies on, who owns it, how it changes, and where material dependencies sit.
AI system inventory
02
Risks, claims, and reliance
What the company says, what customers may infer, where reliance begins, and what requires treatment or qualification.
AI risk management
03
Human review and authority
Where judgment remains necessary, who can approve or intervene, and how consequential decisions are recorded.
Human oversight / decision rights
04
Evidence and versioning
What happened, which systems and versions were involved, what was reviewed, and what can later be demonstrated.
Governance evidence / audit trail
05
Security and legal requirements
What the product, workflow, vendors, and agreements must be built or revised to satisfy.
AI security governance
06
Rituals and administration
How the system stays current through recurring review, decision preparation, escalation, and lightweight automation.
Governance operations / periodic review
The result is governance you can point to, not just describe.
03
- Design
- Implement
- Operate
Services
Design the governance. Build it. Keep it current.
01
AI Governance Consulting & Implementation
We design and implement the records, authority structures, control paths, and recurring operating mechanisms through which governance actually runs.
- Inventory
- Ownership
- Decision rights
- Change control
02
AI Agent & Automation Governance
Clear permissions and authority, automated evidence capture, and control paths that support momentum instead of slowing it down.
- Agent identity
- Permissions
- Human approval
- Revocation
03
AI Diligence & Assurance Readiness
The controls, decision history, and records independent review will examine, in place before the request arrives.
- Audit readiness
- Evidence
- Decision history
- Diligence
How engagements run
01
Governance Architecture
A decision-grade design for the minimum governance structure the business needs.
02
Governance Activation Sprint
The essential records, review paths, and controls, put in place and tested on real work.
03
Ongoing Governance Operations
The operating structure, administered and kept current.
04
- Identity
- Permissions
- Approval
- Revocation
Agent and automation governance
Move fast. Keep the receipts.
Move faster without losing sight of authority, review, and consequence.
Builders get room to move, while the company keeps authority, security, and accountability in view.
Questions every agent should answer
- 01Who owns this agent?
- 02What authority has it been granted?
- 03What can it access?
- 04What requires human approval?
- 05When does that authority expire?
- 06What happens when ownership changes?
Architecture around runtime enforcement
Sentient designs the governance architecture that runtime controls enforce. We are not the enforcement platform.
05
- Records
- Traceability
- Readiness
Evidence, diligence, assurance
Diligence goes faster when the records already exist.
Sentient prepares the operating environment for assurance. Sentient does not audit, certify, or manufacture assurance.
AI diligence and assurance readiness means the controls, decision history, change traceability, and governance records are in place before the request arrives, so independent review has something real to examine.
Customers
Enterprise buyers sending security and AI governance questionnaires before they sign.
Investors
Diligence on the governance gaps a round or acquisition will surface.
Insurers
Underwriters asking which AI uses carry exposure, and what controls them.
Auditors
Inventory, approvals, traceability, and records of what was reviewed.
06
- Foundation
- Readiness
- Assurance
Sentient Start
Establish the governance records and controls your AI company needs before scrutiny arrives.
For startups and growth-stage companies: a bounded build of the governance foundation, covering inventory, ownership, controls, decision records, and evidence, set up in your own tools.
Configured in your tools. Commissioned on real work.
Start establishes
- Operating records
- Controls
- Decision history
- Change traceability
- Evidence structure
AI governance implementation, audit readiness, and assurance readiness
07
- Rituals
- Artifacts
- Authority
How Sentient works
Rituals. Artifacts. Authority.
We build the operating records, review cadences, and authority boundaries that make governance inspectable, and keep it that way over time.
Read the approachWhy Sentient is different
We see consequential issues early, break them into the decisions they actually require, and prepare the evidence, requirements, briefs, and operating structures needed before those issues become blockers.
The result is not more analysis. It is earlier clarity, better sequencing, and practical readiness when the question finally arrives.
08
- Question
- Structure
- System
Proof in practice
From an AI-governance question to a functioning company trust system.
An AI-enabled professional-services company initially needed help understanding the governance implications of its product.
The deeper issue was broader. Its reports could influence consequential decisions. Product claims, disclaimers, human judgment, outsourced development, evidence, security requirements, legal terms, and executive authority had developed separately.
Outcome
Ambiguity became structure, automation, evidence, and decision paths.
09
- Discuss
- Design
- Implement
- Operate
Be ready before they ask
Build the operating structure before the next customer, investor, insurer, partner, or buyer demands proof.
Sentient builds the governance structure companies need to show how AI is owned, controlled, reviewed, evidenced, and operated. Talk to Sentient about what your customers, investors, insurers, partners, or buyers will expect to see.