Atlassian, built around how your teams work. In days.

Trundl stands up your Atlassian collection around how your teams already plan and run. Jira, Confluence, Jira Service Management, and Forge apps. Configured from what you have, validated by architects, live in days.

Fast-track value from your Atlassian stack.

Already running work in Jira with Trundl.

Across healthcare technology, semiconductors, manufacturing, and more.

You have already written it.
We will build it.

Your team has documented how work runs. In tickets, in runbooks, in retros, in Confluence pages no one reads. Six months in, the Jira instance does not match. The config was built from a template. The team works around it.

Jira live,
work scattered.

Jira live,
work scattered.

Templates from another team landed in your instance. Your team works around the config, not inside it.

Templates miss
the workflow.

Templates miss the workflow.

The Jira config got copied from a working template at another company. It fits how someone else ran their team, not how your team runs theirs. The workflow does not match the work.

Config drifted
from reality.

Config drifted from reality.

Whatever was set up at go-live has drifted from how the team actually operates today. New requests get jammed into old request types. The dashboard shows movement, not progress.

Reports lag
behind work.

Reports lag behind work.

Sprint reports reflect what the config tracks, not what shipped. Leadership reviews the wrong numbers. Decisions get made on data the team does not trust.

Handoffs lose
the context.

Handoffs lose the context.

A request opens in Jira, moves to another team, and the context behind it stops at the handoff. The work gets done twice.

Jira built around your teams, not the templates.

NEW DEPLOYMENTS

Greenfield Jira.

Projects, workflows, boards, and dashboards configured to how your teams actually deliver. Architect-validated.

BUSINESS TEAMS

Jira beyond software.

Bring marketing, HR, finance, and operations onto Jira, each team set up around how they really run work, not a copy of the software team’s board.

CONFLUENCE

The context
behind the work.

Decisions, specs, and knowledge structured for findability and connected to the work in Jira, so the why stays with the what.

PORTFOLIO & PLANNING

Roadmaps and capacity, configured.

Cross-team roadmaps, dependencies, and capacity, with the portfolio rollups your leadership needs. Built with Jira Plans, Structure, and Tempo.

Discovery one week.
A working environment the next.

The same proprietary engine that powers Trundl’s migrations powers every Jira build, with the Marketplace apps your teams need configured in. 450+ enterprises trust it.

01

Context, captured

How your teams work, captured from your docs and sessions.

02

Built to fit

A configured Jira environment, made from that context.

03

Kept in step

Your other tools, kept aligned with Jira.

Bioventus rebuilt how their teams run work. In weeks.

Healthcare technology. SOX compliance. Portfolio visibility. Resource forecasting. All on Jira and Confluence.

85 to 95%

faster discovery to UAT

Hours, not weeks

build cycles

SOX-compliant

at go-live

7 to 18

business days, fixed

$95%

renewal rate

Day 0

Bioventus came in with siloed projects, manual tracking, and SOX audit pressure. One assessment.

Week 1

Rapid Deploy returned a working environment. Jira, Structure, and Tempo configured around their portfolio model.

The build

Teams validated SOX-compliant access workflows. Portfolio dashboards live for leadership.

Handoff

Production live. SOX and SAP projects on the same configuration. Audit trail complete.

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.

7-18 Business days to live

90%

Renewal rate

across the engine

6 Sync connectors live

Outcome Pricing model, not hours

Outcomes, not handoffs.

Do right

If your solution or service need doesn’t align to what we do, we tell you. If we screw up, we fix it. We’re the honest and fair technology partner.

Own the outcome

We get paid for what the platform investment delivers, not for the time we spend delivering it. That is how we keep the work honest, and how our customers keep their dates.

Aim high

The old delivery model was fine for the platform of 2019. It is not enough for the platform of 2026. We built ACD because the alternative was watching customers settle.

One assessment. A working Jira environment. Live in days.

Book an assessment. Walk us through how your teams run work. Rapid Deploy returns a working Jira configuration, built on your platform, configured to your teams.

Format

Remote, on-site,
or hybrid

Duration

One or two days

Participants

Trundl architects and your team leads

You Receive

Current-state assessment, configuration map, scope and timeline

Send your docs ahead. Rapid Deploy comes ready to build.

Latest from Trundl.

The Accelerated Contextual Delivery whitepaper.

The definitive guide to Accelerated Contextual Delivery. Eight pages. Built for CIOs, CTOs, and VPs of platform strategy.

The Bioventus story

How a healthcare technology team rebuilt the way they run work in Jira.

Built for your teams, not a template

Why your Jira should be configured around how your teams deliver, not a default layout.

Common questions.

How is Trundl able to deploy Atlassian configurations so quickly?

Trundl has built a proprietary, AI-backed application that ingests knowledge, whether that’s documentation, meeting transcripts, or an existing instance, and creates Jira, Confluence, and Jira Service Management configurations from it. This eliminates the manual, iterative work behind most core configuration tasks on those Atlassian tools, so the remaining human time goes to refining the configuration and handling more complex needs alongside Trundl’s Solution Architects. It’s human expertise supported by automation with AI, not automation replacing the expertise.Trundl has built a proprietary, AI-backed application that ingests knowledge, whether that’s documentation, meeting transcripts, or an existing instance, and creates Jira, Confluence, and Jira Service Management configurations from it. This eliminates the manual, iterative work behind most core configuration tasks on those Atlassian tools, so the remaining human time goes to refining the configuration and handling more complex needs alongside Trundl’s Solution Architects. It’s human expertise supported by automation with AI, not automation replacing the expertise.

Rapid Deploy’s AI features run on OpenAI’s Business/Enterprise offerings, including ChatGPT Business and ChatGPT Enterprise, hosted alongside the platform’s core infrastructure on AWS. Only limited, scoped data required for a specific feature, like a mapping suggestion or a discovery summary, is sent; passwords, API keys, and database credentials are never included. Under OpenAI’s enterprise privacy terms, that data is not used to train or improve OpenAI’s public models by default. Organizations that want the underlying detail can review OpenAI’s enterprise privacy documentation directly.Rapid Deploy’s AI features run on OpenAI’s Business/Enterprise offerings, including ChatGPT Business and ChatGPT Enterprise, hosted alongside the platform’s core infrastructure on AWS. Only limited, scoped data required for a specific feature, like a mapping suggestion or a discovery summary, is sent; passwords, API keys, and database credentials are never included. Under OpenAI’s enterprise privacy terms, that data is not used to train or improve OpenAI’s public models by default. Organizations that want the underlying detail can review OpenAI’s enterprise privacy documentation directly.

Rapid Deploy’s engine covers Jira Cloud, Jira Service Management Cloud, and Confluence Cloud, and now extends to monday.com and Microsoft platform deployments as well. Some Atlassian products, like Bitbucket, are still in active development for Rapid Deploy support. Trundl’s developer team ships new configuration coverage every month, so the set of what Rapid Deploy can build directly keeps expanding.

Yes. The entire point of Rapid Deploy is getting your team testing the core configuration of a use case within hours or days, regardless of how complex that use case is. Rapid Deploy does not replace manual configuration entirely for the hardest edge cases, but it is dramatically faster than a traditional build for getting a complex use case to a working, testable state. Trundl’s Solution Architects handle the parts that need human judgment.Yes. The entire point of Rapid Deploy is getting your team testing the core configuration of a use case within hours or days, regardless of how complex that use case is. Rapid Deploy does not replace manual configuration entirely for the hardest edge cases, but it is dramatically faster than a traditional build for getting a complex use case to a working, testable state. Trundl’s Solution Architects handle the parts that need human judgment.

After an initial call, Trundl gives a rough target date, whether that’s within an hour, a day, or later in the week depending on scope. Most use cases reach UAT within 10 days of completing Discovery. Larger, multi-project engagements can extend further, but in every case your team stays closely involved throughout, not just at kickoff and handoff.After an initial call, Trundl gives a rough target date, whether that’s within an hour, a day, or later in the week depending on scope. Most use cases reach UAT within 10 days of completing Discovery. Larger, multi-project engagements can extend further, but in every case your team stays closely involved throughout, not just at kickoff and handoff.

No. Rapid Deploy is a central piece of Trundl’s own operating model, not a Marketplace app. To get the benefit of the technology, engage with Trundl directly rather than looking for it as an installable add-on.No. Rapid Deploy is a central piece of Trundl’s own operating model, not a Marketplace app. To get the benefit of the technology, engage with Trundl directly rather than looking for it as an installable add-on.

Rapid Deploy is built to accelerate enterprise-wide Atlassian deployments, not just a single one-off build. It can be engaged as a one-time professional service for a specific deployment, or made available across multiple projects as a managed service, so the same engine and Solution Architect relationship carries from one deployment to the next.Rapid Deploy is built to accelerate enterprise-wide Atlassian deployments, not just a single one-off build. It can be engaged as a one-time professional service for a specific deployment, or made available across multiple projects as a managed service, so the same engine and Solution Architect relationship carries from one deployment to the next.

Trundl is an Atlassian Platinum Solution Partner, so the underlying discipline, governance, and platform expertise are the same baseline any strong partner brings. The difference is cycle time: where a traditional engagement runs months of workshops and manual configuration, Rapid Deploy converts business context into a working, testable environment in days, with Solution Architects validating and refining rather than hand-building from scratch.

No. Rapid Deploy is built for three different starting points: standing up Atlassian fresh, switching from another tool such as a project or service management platform, or moving an existing Atlassian Data Center instance to Cloud. The engine adapts to whichever of those is your actual starting point.No. Rapid Deploy is built for three different starting points: standing up Atlassian fresh, switching from another tool such as a project or service management platform, or moving an existing Atlassian Data Center instance to Cloud. The engine adapts to whichever of those is your actual starting point.

Post-deployment support is included, and refinements continue iteratively as your team actually uses the environment, with most updates pushing within hours of a request rather than waiting for the next release cycle. Teams that want ongoing, hands-on support beyond the initial deployment can move into Trundl’s Managed Services model.Post-deployment support is included, and refinements continue iteratively as your team actually uses the environment, with most updates pushing within hours of a request rather than waiting for the next release cycle. Teams that want ongoing, hands-on support beyond the initial deployment can move into Trundl’s Managed Services model.