01 / ONBOARDING
Start with a clear purpose
Planned guidance to help teams define their first AI system profile, responsibilities and assessment scope.
Telnai / AI governance software by FinInsurAI
AI governance.
From scattered records
to connected decisions.
FinInsurAI is developing Telnai to bring AI system profiles, assessments, risks, controls, evidence and actions into one structured workflow.
PRIVATE PROTOTYPE · IN ACTIVE DEVELOPMENTBuilt for human review and accountability.
AI adoption creates decisions.
Governance needs a clear record
of who owns them—and why.
The Telnai product
A working structure
for AI governance.
Telnai is being developed for teams responsible for AI governance, risk and adoption, with a focus on regulated organisations. Its private prototype supports a structured assessment of one AI system, connecting system context to risks, controls, evidence and accountable actions.
Private prototype · Not yet generally available
Discuss Telnai ↗ Visit the Telnai website ↗Telnai Workflow overview
- 01Understand the system
Record purpose, context and ownership.
- 02Structure the assessment
Review recommended risks and controls before confirming them.
- 03Connect evidence and action
Map supporting records and assign follow-up work.
- 04Prepare a Governance Pack
Bring self-assessed readiness and supporting records together for review.
Development & product boundaries
A working pilot.
A clear next stage.
The prototype has been built. Development is now preparing the move to Azure, with migration and acceptance testing still ahead.
Available in the private prototype
System profiling, guided intake, risk and control records, self-assessment, evidence mapping, action tracking and Governance Pack exports.
Human decisions stay explicit
Users review recommendations and remain responsible for assessments, evidence decisions and follow-up actions.
Readiness, with a defined scope
The prototype uses original Telnai risk and control content. Its reports describe self-assessed readiness; they do not establish legal compliance, certification or independent assurance.
Planned product support
Helping teams put
Telnai into practice.
Alongside product development, we are planning onboarding, configuration and training support for future Telnai users. These services are not yet generally available.
02 / CONFIGURATION
Structure the records
Planned support for setting up system information, evidence links and accountable actions within Telnai's supported workflow.
03 / TRAINING
Build user confidence
Planned walkthroughs of assessments, evidence mapping and self-assessed readiness reporting, with human review at each decision point.
04 / FEEDBACK
Inform the next stage
Conversations with prospective users to understand practical needs and inform product development.
Independent advisory: FinInsurAI also offers separate consultancy in AI governance, adoption and organisational transformation. These engagements are distinct from Telnai product support.
Independent. Founder-led.
Software and expertise, built around accountability.
Dawid Szymanek founded FinInsurAI in London after 15 years leading digital, data and AI transformation. He brings together business architecture, governance, risk and compliance, and hands-on AI delivery, and is certified as a Microsoft AI Transformation Leader and a Cloud Security Alliance Trusted AI Safety Expert (TAISE), alongside CCSK, PMI-ACP and IIBA-AAC. He leads FinInsurAI’s consultancy and designs and builds Telnai, our AI governance platform. Outside work, he’s a marathon runner. Connect with Dawid on LinkedIn.