All industries
Professional Services
Governed support for accounting, legal and advisory operations.
Firms in accounting, legal and advisory run knowledge- and approval-intensive engagements. AI can assist with preparation and retrieval, without giving advice on its own.
Operational challenges
- Repetitive document workflows
- Knowledge scattered across engagements
- Approval and review bottlenecks
- Evidence and record-keeping demands
Appropriate AI use cases
- Client relationship management and outreach
- Document workflows and engagement preparation
- Knowledge retrieval and approval workflows
- Evidence capture across engagements
Human-decision boundaries
- The system does not provide legal, tax or financial advice autonomously
- A qualified professional reviews and owns the output
- Approvals are recorded
Data & privacy
Engagement data stays within governed boundaries; sensitive content can be detected and redacted.
Integration
Governed connectors to document and practice-management systems, assessed per engagement.
Deployment
Managed, customer cloud or private, depending on confidentiality requirements.
Example workflows
Engagement preparation
- Materials ingested
- AI retrieves relevant knowledge
- AI drafts a preparation pack (reversible)
- Professional reviews and approves
- Evidence captured
Related capabilities
Octoryn Builder
Private previewBuild production applications that emit portable, reviewable source code — not a locked-in low-code runtime.
- Audience:
- Engineering teams and organisations building internal and customer-facing software.
Octoryn Runtime
Private previewA runtime for governed AI-enabled applications, connecting models, policies, tools and operational systems.
- Audience:
- Teams operating AI inside real workflows and systems of record.
Octoryn Observe
Private previewObservability for AI actions: what was decided, by which model and policy, and what happened next.
- Audience:
- Operations, quality and audit teams accountable for AI-assisted processes.
Octoryn Replay
ExperimentalReconstruct an AI action from its recorded inputs, decisions and evidence for review and dispute resolution.
- Audience:
- Risk, legal and quality teams that must explain past decisions.
