Fragmented knowledge
Documents, databases, and business systems remain disconnected from the people and workflows that need them.
Connect approved documents, databases, and business systems. Ground every answer in source evidence, then move work forward through bounded, observable workflows—inside your environment and under your brand.
Source-backed
Customer-controlled
Customer-branded
Your brand, inside your approved control boundary
A useful system must understand what a user is allowed to access, show where an answer came from, and constrain what happens next. Those controls cannot be an afterthought.
Documents, databases, and business systems remain disconnected from the people and workflows that need them.
Fluent responses create risk when users cannot inspect the approved records and documents behind them.
Agents become unsafe when identity, data scope, approvals, and auditability are added after deployment.
Vassure Ai brings connected knowledge, source-backed answers, bounded agents, and operational observability together in a customer-branded experience inside your approved deployment boundary.
Connect approved documents, databases, and business systems through governed retrieval.
Return business-readable responses with evidence summaries, citations, and policy-aware escalation.
Combine models, data, tools, APIs, and human decisions inside explicit workflow boundaries.
Inspect retrieval, model calls, agent steps, approvals, latency, usage, and final outcomes.
Vassure Ai authorizes the request, retrieves only approved context, and keeps the supporting evidence attached to the answer.
Connect approved sources
Bring governed documents, database records, and business systems into one retrieval boundary.
Apply the user's access
Carry customer-managed identity and permitted data scope into every request and retrieval.
Return the evidence
Produce a business-readable answer with an evidence summary and inspectable source references.
Product evidence · Enhanced Chat
Authentic Vassure Ai product view

Combine models, enterprise tools, and human decisions in explicit workflows whose data access and authority are configured for the job.
Compose agents, models, retrieval, tools, APIs, and routing visually
Carry structured state through branches, subflows, and bounded loops
Pause sensitive actions for approval and trace every execution step
TRACE ON
Input trigger
Chat · API
AI route
Condition agent
Enterprise agent
Model · knowledge · tools
Action policy
Deterministic condition
Approval if required
Resumable checkpoint
Controlled action
Tool · HTTP
Actionable result
Execution output
SHARED STATE
TRACE ON
Input
Chat · API
AI route
Condition agent
Enterprise agent
Reason · plan · select
Model reasoning
Knowledge / RAG
Tools + MCP
Memory + state
Structured output · shared flow state
Action policy
Deterministic gate
Human approval
Resumable checkpoint
Controlled action
Tool · HTTP
Inspect retrieval, model calls, agent steps, tools, approvals, latency, usage, and outcomes within the deployment's configured telemetry and retention boundary.
Product evidence · Native Observability
Authentic Vassure Ai product view

Adapt approved open-source language models using curated organisational data to improve domain vocabulary, response style, task performance, and process alignment.
Governed adaptation lifecycle
Stage 1 / 7
Approved data
Select organisational content and examples that are approved for model adaptation.
Stage checkpoints
Confirm the task, owner, and success criteria
Record source, licence, and data provenance
Flag restricted or sensitive content for review
Datasets · training jobs · checkpoints · model registry · endpoints stay in your customer-controlled environment.
Domain language
Improve understanding of organisation-specific vocabulary and context.
Task performance
Adapt model behaviour to well-defined business tasks and quality criteria.
Process alignment
Reflect approved response styles, workflows, and operational expectations.
Security is part of the deployment and workflow model: customer identity, explicit agent boundaries, isolated data, and deliberate model updates.
Run Vassure Ai in your cloud or on-premises while keeping infrastructure and identity inside your control boundary. External services are enabled only where the customer approves them.
Customer-branded workspace
Native IAM integration
Containerized deployment
Cloud-agnostic architecture
Control active
Vassure Ai integrates with customer-managed identity so user access, sessions, and workforce policies remain under the organisation's control.
Customer identity provider governs sign-in and MFA
Workload identities separate services and agents
Least-privilege roles scope each user's access
Branding, deployment, configuration, support, and scale are defined around the customer's approved architecture and operating model.
Deploy in the customer's cloud account or on-premises environment according to the approved architecture.
Configure customer branding, workspace language, and user journeys around the approved use case.
Choose customer-managed operation or contracted VassuTech support within the agreed control boundary.
Size workloads against the approved architecture and validated performance evidence for the target deployment.
Walk through your data boundary, identity model, integration needs, and operating controls with the Vassure Ai team.
Explore solution experiences Vassure Ai has built and demonstrated across claims, banking, and manufacturing—each designed around approved evidence, bounded action, and human oversight.
Vassure Ai has built and demonstrated this workflow as an integrated solution experience using representative claims processes and demonstration data.
Cross-document claim and policy evidence review
Source-linked findings and exception signals
Human review routing with an inspectable trail
Vassure Ai has built and demonstrated a governed banking workflow that connects document intake, structured verification, exception handling, and reviewer oversight.
Structured extraction from customer documents
Comparison against configured records and rules
Evidence-backed exception routing for review
Vassure Ai has built and demonstrated an operational workflow that connects inspection evidence, technical knowledge, engineering review, and controlled reporting.
Inspection evidence captured in a structured workflow
Grounded technician and engineering review support
Controlled review and publication of final reports
Explore demonstrated solutions, configurable patterns, and workflows in development across information-heavy industries.
Support claim teams with approved knowledge, structured extraction, review routing, and source-backed evidence while keeping final decisions with authorized people.
USE CASE / 01
Correlate approved claim-processing signals and supporting evidence to help reviewers identify cases that warrant closer investigation.
USE CASE / 02
Extract relevant fields from approved claim documents and retain the source evidence for verification and downstream review.
A clear starting point for evaluating fit, deployment boundaries, governance, and the path from one use case to an operable solution.
No. Vassure Ai is designed to connect approved documents, databases, APIs, identity services, and business systems, then add grounded knowledge and governed workflows around them.
Yes. The deployment model can be shaped around an approved customer cloud or on-premises boundary, with external services enabled only where the customer permits them.
Workflows can restrict data, tools, and actions by identity and role, introduce human approval gates, and retain evidence and operational traces for review.
Start with one defined workflow. We map its users, approved sources, decisions, integrations, controls, and success criteria before configuring a focused demonstration and deployment path.
Configure a customer-branded experience around your organisation's information, models, and governed workflows.