- AI²
All of your AI. One governed system.
AI² gives every model a boundary and a job, every output an owner, and every contribution an audit trail. Rapid Deploy delivers the platform in days.
Fast-track value through Rapid Deploy.
Months to Weeks
Months to Weeks
AI sprawl to
Governed System
AI sprawl to Governed System
Personal Productivity to Production Execution
Personal Productivity to Production Execution
400+ enterprises trust the engine.
Built for the multi-model reality: platform AI plus the assistants your teams already use.
Every model gets a lane.
In-workflow AI that answers from your environment.
Platform AI handles in-context work inside Jira and Confluence: retrieval, summarization, ticket-level assistance. Trundl configures the agents and strengthens the knowledge they answer from.
WHAT THE CONFIGURATION COVERS
- Context retrieval from the Jira and Confluence you already run
- Knowledge quality improved as part of the rollout
- Permissions and boundaries set by your policies
Your approved assistants work inside the system of record.
Approved assistants, Claude, ChatGPT, or Copilot, connect through governed access layers like the Atlassian MCP server and take the cross-context reasoning and transformation work.
WHAT THE CONFIGURATION COVERS
- Access limited to approved models and named data sources
- Permissions mirrored from your platform roles
- Full audit trail on every AI-initiated contribution
A platform agents can act on safely.
Rapid Deploy is the enforcement mechanism. Workflows, routing, and permissions hold before any agent acts.
A platform agents can act on safely.
Rapid Deploy is the enforcement mechanism. Workflows, routing, and permissions hold before any agent acts.
WHAT THE CONFIGURATION COVERS
- Working configuration in 7 to 18 business days
- Workflows, routing, and permissions configured first
- Scope and timeline fixed before any agent acts
Governed for the audits you already answer to.
Industry-tuned patterns for regulated engineering organizations.
Healthcare
Manufacturing
AI-assisted documentation carries full attribution in Jira and Confluence, so ASPICE and ISO 26262 reviews pull evidence from the system of record.
Healthcare Technology Company
AI² turns escalation from a coordination project into a workflow.
A documented Healthcare Technology reference pattern: an owner and an AI role at every stage.
1
workflow
5
use case patterns in the starting scope
2
ready to compose AI layers
7 to 18 days
one audit trail
Every stage
to a working configuration
Day 0
Escalation lands. AI structures the report, environment, and history into one record. Support owns the submission.
Hour 1
AI drafts the package with reproduction steps. Support reviews before it moves.
Hour 2
AI suggests the routing. Support approves. The decision is logged for audit.
Day 1+
Engineering receives a standardized package, AI contributions logged per stage. Engineering owns the diagnosis.
Trundl’s job isn’t to follow a platform roadmap. It’s to arrive ahead of it, operationalize what’s possible, and deliver outcomes where it counts: in the workflows that drive how work gets done.
Manohar Goli
CTO, Trundl
Twelve hours.
A scoped AI² engagement.
Bring one workflow where AI is already in use. Trundl returns the assessment, the configuration, and the timeline.
Format
Remote, on-site, or hybrid
Duration
12 hours, one or two days
Participants
Trundl architects + your platform owner, security lead, and one workflow owner
You Receive
Current-state assessment, scoped configuration, timeline
Send the list of AI tools your teams use today. Rapid Deploy comes ready to build.
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