AI agents that work across your business systems.
Jinova connects support, engineering, CRM and operational systems to investigate customer and business issues, gather the relevant evidence, prepare decisions, coordinate owners and carry out approved actions—with human oversight and a complete audit trail.
We start with one costly, repetitive workflow, validate it with your team, then build and operate the agent with you.
Business Systems
Jinova AI Governance Layer
Approved AI Models
Business Systems
Jinova AI Governance Layer
Approved AI Models
It is not just answers that are scattered. The work is.
Your teams do not lose time because they lack AI. They lose time because work is spread across tickets, CRM, engineering tools, dashboards, documents, Slack threads and internal processes. Jinova turns one fragmented workflow into a secure AI agent that gathers context, prepares decisions and coordinates the next step.
One secure AI agent
Read-only firstOne workflow, gathered and prepared in a single auditable run — instead of manual tool-switching, chasing and copy-paste.
The operational work a Jinova agent takes on.
Each engagement targets specific, measurable work — not a general-purpose assistant sitting alongside your team.
- Reduce escalation investigation from hours to minutes
- Prepare release-readiness decisions
- Automate weekly account-risk reviews
- Draft customer and internal updates for approval
- Chase unresolved commitments
- Coordinate follow-ups across teams
- Keep humans in control before sensitive actions
We build the agent — and the controls around it.
Jinova connects the approved systems a workflow depends on, defines what the agent is allowed to do, and keeps people in control before anything sensitive happens.
Approved system connections
Connect the systems a workflow depends on without giving the model direct credentials.
Role-based access
Control which users and teams can use each workflow and reach each data source.
Read-only first
Start with retrieval and drafting before any write-back or action is enabled.
Audit trail
Track workflow activity, retrieved context, model calls, outputs and approvals.
Approved AI models
Run each workflow through the AI models your organisation already approves.
Human approval
Keep people in control before customer messages, system updates or operational actions.
From a scattered escalation to a decision ready for approval.
Agent workflow
- Gather customer and account history
- Review support ticket history
- Check engineering issues
- Pull product metrics
- Search runbooks
- Identify likely cause and owner
- Draft internal escalation
- Draft customer update
- Hold for human approval
Escalation summary
Awaiting human approvalAcme Corp is affected by increased API latency following a recent dashboard release. Support tickets show repeated timeout reports, product metrics confirm elevated response times, and engineering issues reference a related cache invalidation bug.
Recommended next actions
- Escalate to engineering owner
- Share customer-facing update
- Monitor affected endpoints
- Review dashboard rollback option
Confidence
High
Evidence sources
Governance is the layer around the agent.
AI becomes useful when it can reach real context, and risky when that access is uncontrolled. Every Jinova agent is built with permissions, approved system access, audit trails, read-only defaults and human approval around it.
Read-only first
Retrieve, summarise and draft before any action is enabled.
Least-privilege access
Users and workflows only reach approved data.
Credential isolation
System credentials are never exposed directly to the model.
Evidence trails
Outputs are grounded in retrieved context.
Human approval
Sensitive actions and customer messages require review.
Deployment flexibility
Managed, customer-controlled or self-hosted deployment.
Why not just use ChatGPT, Claude, Gemini, Copilot, or Cursor?
Your company can use those tools, and Jinova works alongside the models your organisation already approves. The difference is operational. A Jinova agent runs a defined workflow across approved systems: it gathers the evidence, prepares the decision, drafts the output and records the audit trail — then waits for a human before anything sensitive happens.
Not a replacement for your AI tools
Jinova works with approved models rather than forcing a specific model.
Not uncontrolled system access
Approved connections, permissions and read-only defaults control what the agent can reach.
Not a general-purpose assistant
Each agent is scoped to one workflow, one set of approved systems and one set of approved actions.
Workflows we assess, build and operate.
Customer Escalation Agent
Investigates a customer-impacting issue end to end and prepares the internal escalation and the customer update for approval.
Who it is for
Support, Customer Success, TAM and Solutions Engineering teams.
What the agent does
- Gathers customer history
- Checks tickets, CRM, engineering issues and metrics
- Identifies likely cause and owner
+3 more
Release Readiness Agent
Assembles the real state of a release, chases what is outstanding and prepares the go/no-go decision.
Who it is for
Software, gaming, fintech and platform companies.
What the agent does
- Collects delivery commitments
- Checks issues and dependencies
- Identifies readiness risks
+4 more
Post-Sales Operations Agent
Prepares account meetings, surfaces risk, investigates technical questions and keeps commitments tracked.
Who it is for
SEs, TAMs, Solutions Architects and technical account teams.
What the agent does
- Prepares meetings and QBRs
- Summarises account risks
- Investigates technical questions
+3 more
Executive Operations Agent
Compiles the weekly operational picture, flags what is slipping and keeps follow-ups moving.
Who it is for
Leadership and operations teams.
What the agent does
- Compiles weekly operational information
- Identifies anomalies and overdue decisions
- Prepares leadership summaries
+2 more
Assess one workflow. Pilot one agent. Operate it with us.
AI Workflow Assessment
A short paid engagement to identify one workflow worth automating — and to prove it is worth doing before anything is built.
Deliverables
- Workflow and systems map
- Time and cost baseline
- Agent responsibilities
- Approval points
+3 more
AI Agent Pilot
Build one working AI agent around one real workflow, used by real people on real work.
Scope
- One workflow
- Two to four systems where appropriate
- Read-only first where needed
- Real outputs for real users
+3 more
Managed AI Operations
Operate and improve the agent after launch, and extend it as trust grows.
Includes
- Monitoring
- Prompt and workflow improvements
- Connector maintenance
- Evaluation
+3 more
See the Customer Escalation Agent demo.
This synthetic demo shows one Jinova workflow: an agent investigates a customer-impacting issue across support tickets, customer records, product metrics, engineering issues and runbooks, then produces an evidence-backed outcome for human review.
Synthetic data. No customer data. No production credentials.
Frequently asked questions about governed AI
How Jinova AI works, what it connects to, and how it keeps AI access controlled and auditable.
What is Jinova AI?
Is Jinova just another chatbot?
Is Jinova a platform?
Can Jinova take actions?
How does an engagement start?
Does Jinova replace ChatGPT, Claude, Gemini, Copilot, or Cursor?
What systems can Jinova connect to?
How does Jinova support governance?
Who is Jinova for?
Show us one workflow that costs your team hours.
We'll map the systems involved, the approval points and the effort it takes today — then show you what a secure AI agent would do differently.
Read-only first. Evidence-based outputs. Human approval before action.