Private AI · Verified Execution · Auditable Workflows · Regulated Operations

AI for Operations that can't go wrong.

Sentiant turns regulated operating procedures into private, auditable AI workflows. Deploy inside your environment, connect to existing systems, and give teams a secure record of every decision and action.

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System Status OPERATIONAL
No data leaves your control
Designed for EU AI Act readiness
Built around your SOPs
Runs in your cloud, on-prem, at the edge
Built for production, not pilots
01 — The Operational Gap
AI workflows only work when People, Process, Data & Technology line up.
Before AI can move into production, the workflow foundation has to be clear. Without it, teams run into familiar blockers:
Fragmented Data
Data sits across systems, teams, and documents, making it hard to prove what happened when something goes wrong.
After-the-Fact Compliance
Evidence is gathered manually after decisions are made. Audit trails are reconstructed from email chains, notes, and system fragments.
Unclear Attribution
Decisions happen without a clear rationale, making root cause analysis slower and less reliable.
Pilot Stall
AI demos look impressive in isolation, then struggle when exposed to real workflows, exceptions, audits, and change control.
Security Gaps
Security risks appear late when deployment boundaries, data movement, and access controls are not designed from the start.
No Evidence Layer
AI outputs may seem correct, but they still need to be checked against business rules, real examples, source systems, and known failure modes.
02 — The Outcome
Live Workflow Trace
Turn static procedures into live, auditable workflows
Sentiant turns manual procedures into AI-guided workflows that follow your SOPs, verify outputs against trusted sources, and escalate when judgement is needed. Every step is recorded.
Guide the operator through each step
Read context from existing systems
Execute defined procedure steps
Escalate exceptions to the right person
Record every action taken
Produce an audit-ready trail
Workflow Monitor Running
SOP Reference
PH-QC-042
Environment
On-prem
Data Boundary
Internal only
Audit Status
Signed
01 Classify incident Complete
02 Extract evidence Complete
03 Cross-check SOP-17 Complete
04 Verify against batch records Running
05 Prepare reviewer pack Pending
Audit hash: 8F32A9…C71D Step 4 / 5
03 — What Makes This Different
Built with Security, Operations & Compliance teams in mind.
01
Runs inside your environment
Deploy on-prem, at the edge, or in your private cloud. No data sent to external AI services.
02
Verified before action
Model outputs are checked against source systems, workflow rules, evidence, and permissions.
03
Built around your SOPs
Your procedures form the workflow definition, with defined steps, controls, escalation, and evidence capture.
04
Every step, logged
Signed, timestamped, inspectable audit trail of every input, model version, tool call, action, and decision.
05
Works where cloud AI cannot
Operates in air-gapped, low-connectivity, edge, and high-security environments. Not just the data centre.
06
Rust-based, containerised runtime
Hardware-aware inference, private model adaptation, and runtime enforcement for workflows.
04 — Use Cases
Designed for workflows where accuracy, traceability, and oversight matter.
Compliance-Heavy Procedures
Turn SOP binders into live, guided workflows with step-level traceability and auditor-ready evidence.
PharmaManufacturingUtilities
Quality & Inspection Workflows
Extract, validate, route, and approve quality evidence with full chain of custody.
PharmaManufacturingHealthcare
Maintenance & Incident Response
Triage, classify, recommend actions, and log every decision during time-sensitive operational events.
UtilitiesManufacturing
Shift Handover & Reporting
Capture context, structure reports, maintain continuity across shifts without tacit knowledge gaps.
UtilitiesManufacturingHealthcare
Regulated Document Workflows
Generate structured evidence packs with full traceability from source document to final approval.
PharmaFinanceHealthcare
Multimodal Operator Assistance
Hands-free, voice-enabled procedure guidance for plant, lab, and field environments with full logging.
ManufacturingUtilitiesHealthcare
05 — Under the Hood
Built for highly regulated environments.
Engineered for compliance.
Contract-driven workflows, constrained model outputs, source-system checks, hardware-aware inference, private model adaptation, and inspectable audit trails at the systems level.
Workflow Contracts
Steps, roles, controls, evidence, and failure paths defined upfront
Deterministic Model Outputs
Structured responses the runtime can inspect and validate
Containerised agents
Isolated, versioned, reproducible
Rust / GPU / NPU stack
Hardware-aware inference
Private model adaptation
Fine-tuning that stays local
Signed, inspectable logs
Every action cryptographically recorded
Production Audit
Trying to move an AI pilot into production?
Book a focused production audit. We’ll review the workflow, controls, evaluations, deployment path, verification checks, and risk gaps needed to move from demo to operational system.
Book a Production Audit ↗