AI-aided search, work automation, and work assistants.

Build practices and habits to maximize Rovo, Look, and Dia alongside your unique enterprise landscape.

Rovo on the bill turns into Rovo on the work.

The pilot stalled. Finance wants the receipts.
The CEO mandates more AI ROI.

01

The Discovery Loop

01
The Discovery Loop

People ask the AI a question. Get a mediocre answer. Stop asking. The tool dies before it spreads. Discovery surfaces the context the AI was missing.

02

The Rediscovery Loop

02
The Rediscovery Loop

Someone finds value. Tells nobody. Leaves the company. Tribal knowledge walks out the door. The Teamwork Graph captures it before it walks.

03

The Synthesis Loop

03
The Synthesis Loop

Agents exist but pull from the wrong sources. The answer does not match how your business runs. Discovery anchors the agent’s sources to the workflows that matter.

AI that joins the workflow instead of waiting beside it.

LOOM · CAPTURE

Conversations to
context.

The fastest way context moves between people. Trundl teaches the recording habits, templates, and workflow connections that make Loom the default knowledge layer. Recordings stay findable six months later and feed the Teamwork Graph.
ROVO · ACTIVATE

Agents on your work graph.

Agents that act on your real context, not a generic prompt. Workshops surface the high-value uses, teams build the first agents in the room, and trust transfers from low-stakes to high-stakes over time. Governance lives in the workshop.
DIA · CONNECT

Work finds your
people.

The AI browser that sees every tab. Trundl integrates Dia into the tools your teams already use, coaches the morning-brief habit, and earns the IT sign-off. The tab-check becomes a briefed start.

Your runbooks become the agent's playbook.

Discovery

Your work, understood. Where context lives, which workflows burn hours, which agent uses earn the first wins. The team’s existing knowledge becomes the substrate.

Deployment

Capability ready for the team. The first Rovo agents, recording templates, and workshop materials, built from your real context. Teams leave the room having shipped, not having watched.

Sync

Connected across the Teamwork Graph. Loom feeds, Rovo reads, Dia surfaces. Each capability makes the others more valuable. The system compounds.

Discovery

Your work, understood. Where context lives, which workflows burn hours, which agent uses earn the first wins. The team’s existing knowledge becomes the substrate.

Deployment

Capability ready for the team. The first Rovo agents, recording templates, and workshop materials, built from your real context. Teams leave the room having shipped, not having watched.

Sync

Connected across the Teamwork Graph. Loom feeds, Rovo reads, Dia surfaces. Each capability makes the others more valuable. The system compounds.

Toshiba's 60-page export became the agent's context layer in 24 hours.

Discovery ingested a decade of Smartsheet decisions. Deployment built the Atlassian environment. The same context layer Rovo agents would read.

60-page

export ingested

1

day to working instance

100

users moved

$60K

saved per year

Day 0

Toshiba handed over a 60-page Smartsheet export. One Discovery session.

Day 1

Working Atlassian environment running. Workflows matched the source.

Week 1

Teams validated on live work. Context layer ready for AI activation.

Month 1

Migration complete. The same context Rovo agents would read across the business.

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: on the ground, in the workflows that run the business.

Manohar Goli

CTO, Trundl

Forecastable, on every engagement.

95%

renewal rate across the engine

7 to 18

business days, fixed packages

Hours

not weeks build cycles and changes

85 to 95%

faster discovery to UAT

Habits that outlast the workshop.

Workshops

Hands-on rooms. Teams leave having built something. Their first Rovo agent, their Loom template, their Dia workflow. Learning by doing.

Coaching +
Practice design

Trundl coaches your Atlassian admins and team leads. They coach their teams next. The plays that become culture get written down and reinforced.

Measurement

Adoption defined past login counts up front. Time saved, cycle-time on revenue workflows, agent coverage. Reported to the executive sponsor every month.

Start with a workshop.
Your team leaves having built something.

Start with a workshop. Your team leaves having built something.

Thirty minutes with someone from the Workshops practice. We respond inside four hours.
Routed to a practitioner, not an SDR.
First scoping call inside the week.

Latest from Trundl.

The ACD position paper

Our point of view on Accelerated Contextual Delivery, the model behind delivery in days.The definitive guide to Accelerated Contextual Delivery.

The Toshiba story

How Toshiba’s hardware teams were testing their own Jira by the second meeting.

From the blog

Our latest thinking on enterprise delivery and AI.

Common questions.

Is this a training program or a deployment?
Neither, on its own. It is enablement. Workshops build habits, coaching sustains them, and agent building gives teams something to use the day they leave the room. Trundl runs the full arc, not one piece of it.
Habits start forming inside ninety days. They become company culture across a year of coaching and measurement. The engagement runs in ninety-day blocks with measurement at the close of each block, so leadership sees progress every quarter.
Rapid Deploy builds the Rovo agents that workshops identify, fast and on your real context. The broader engagement is workshops, coaching, practice design, governance, and measurement, delivered by people who have shipped enablement before.
Rovo is Atlassian’s AI layer that reads the Teamwork Graph, runs agents your team designs, and acts inside Jira, Confluence, and the rest of the Atlassian estate. Unlike a generic assistant, it works on your real organizational context.
The Teamwork Graph is the connected map of work, people, decisions, and history across Atlassian. Loom feeds it, Rovo reads it, and Dia surfaces from it. Enablement designs the practices that keep the graph fed and useful.
Loom is built for async work and connects natively to Jira, Confluence, and the Teamwork Graph. Recordings live where the work happens, get searched alongside the docs, and feed agents that act on what was said.
Dia is Atlassian’s AI browser. It sees every tab and every tool and surfaces what is next, what is ready, and what was missed across the day. Surfacing happens at the browser level because that is where the work actually happens.
The capabilities need to be available before adoption can happen. Trundl helps sequence the licence move, the workshop calendar, and the first agent build into one engagement so timing is not an obstacle to results.
Yes. The usual sequence is Rovo first for workflow change, Loom second for context capture, and Dia third for the daily layer. Sequencing follows your goals and your existing licence position.
Yes. Atlassian AI runs alongside Microsoft Copilot and other enterprise AI tools without conflict. Trundl designs the practices and governance so each tool is used for the work it is best at, with no overlap.
Time saved per role on specific workflows, cycle-time on the flows that carry revenue or risk, active agent coverage in production, recordings per user, and morning-brief adoption rate. All instrumented and shown on a leadership dashboard.
Atlassian admins, the team leads of the workflows you want to change, and one executive sponsor who owns the ROI dashboard. Trundl runs the room. Eight to twelve people per workshop is the working size.