The Trundl engagement: Outcome focused, with fast delivery windows

Working with Trundl is different. Our IP (Rapid Deploy) removes most of the traditional deployment, migration, and sync costs of administering Atlassian. It leaves you and us to focus on impactful change through innovation.

Just how fast are we?

7 business days

Startups and small teams getting launched fast

3 to 4

RAPID DEPLOY DAYS

Within 1 day

UAT START

12 business days

Growing teams needing broader alignment

6 to 8

RAPID DEPLOY DAYS

Within 2 days

UAT START

18 business days

Enterprise programs ready to scale and integrate

8 to 12

RAPID DEPLOY DAYS

Within 3 days

UAT START

Use-case based

Enterprise platform ROI engagements

Scoped in Discovery

RAPID DEPLOY DAYS

Within 3 days

UAT START

Trundl focuses on innovation, not hours. The proof is in delivery.

Discover & Build in 4-hour blocks

“A Rapid Deploy Day isn’t a meeting. It’s four hours of your solution being built, live, with you in the room. No slide decks. No status calls. Just working software taking shape.”
One Solution Architect drives the engine. Your team validates the build as it happens. Configurations take shape on screen. Changes ship in the same session. The output is a working custom test environment, not a deck.

4 hours

Architect-led, team-validated

Working artifact at end

7 to 18 business days. Contractual.

The window and the package price are fixed at signing. If the schedule slips for reasons inside your team (stakeholders unavailable, business sign-off delayed), Trundl flags it by Rapid Deploy Day 1, before the date drifts. The conversation about timeline happens at Day 1, not at the original delivery date. The executive meeting that comes next has no surprises.

Fixed at signing

Day-1 schedule honesty

No surprise charges

You inherit a working custom solution, not a template

The team that validated the build owns it on the other side. Post-handoff technical support and training are included in every package. The Solution Architect who ran the build runs the training and authors the documentation. Trundl steps back when your team is ready, not when a clock expires.

2 to 4 weeks technical support

3 to 6 hours of training

No separate SOW

Through voice or documents, share your processes. Turn context to configuration.

AI transcripts and meeting notes

Speak to team structure, processes, dependencies, goals in discovery sessions. If you can describe how your team works, the engine can build it.

Process docs, runbooks, WBS files, more

Trundl turns key knowledge base assets and their business context to test-ready solutions within hours.
Move fast like us.
The engagement works best when your stakeholders are available for an aggressive schedule. If scheduling will slow the date, Trundl flags it by Rapid Deploy Day 1. Engaged customers ship faster.

The package is the whole package. The line never moves mid-engagement.

Included in Rapid Deploy

What you get

what we ship

Working
configurations

Live builds and
validated outputs

Phase 1 includes
everything for go-live

Fixed scope, fixed price,
fixed window

These aren’t exclusions. They’re how the engagement keeps a clean line.

The objections we hear most.

Does this introduce AI risk or black-box automation?

Our operations are AI-assisted, but always with a human in control. Your data is secure, and all outputs are auditable and reviewable.

Is this enterprise-grade and secure?

ISO 27001, SOC 2 Type II, and GDPR aligned, with audit trails on every configuration change.

Will this conflict with our governance or change controls?

Governance is built into the configuration layer, not patched on after. Change traceability is included.

Is this risky during migration?

Phased cutovers with bi-directional syncs. No big-bang cutover. No weekend rollback plan.

Will this touch or store our customer data?

Customer data stays in your environment, with role-based access and least-privilege principles applied.

My use case is too complex for this.

Complex doesn’t mean slow. We scope the window in Discovery, before signing.

Where customers are stuck is where we thrive.

Bring your stack. We return a consolidation and integration plan within the week.

Walk us through your environment. The Rapid Deploy engine does the rest.
Still have questions? Talk to us.

Common questions.

How is this different from a fixed-fee engagement?
A traditional fixed-fee engagement still bills against hours expected and negotiates scope changes through change orders. Trundl prices on the outcome. Scope is captured in Discovery and packaged. Changes inside the package ship without a change order. Changes outside the package are scoped separately.
Complex use cases scope the window in Discovery, before signing. Multiple concurrent projects are supported. Enterprise-scale engagements may run multiple windows in parallel or sequence. The Discovery session sets the realistic window.
Included: user and access management, projects and spaces, issue types and workflows configured from context, post-handoff technical support (2 to 4 weeks), training (3 to 6 hours). Add-on: historical data migration, deep automation, complex third-party integrations, custom apps, enterprise governance frameworks. Detail on the page above.
The engagement is a fixed-fee package with a defined statement of work, defined deliverables, and a contractual delivery window. Procurement reviews a fixed price, not an hours-billed master service agreement. Most enterprise procurement processes accept this faster than traditional time-and-materials.
Post-handoff support and training are included. The Solution Architect who ran the build runs the training. After the included support window, customers can engage Trundl on a per-incident or retained basis. Extensions are scoped as their own package, not as hours-billed continuations.
Yes. Rapid Deploy Days are run in business language. The architect drives the engine. Your team validates the build against how the business actually works. Technical configuration decisions are handled by the engine. Business decisions are handled by you.

Latest from Trundl.

Migration²

The platform move and the workflow transformation, in one engagement.

Rapid Deploy

The engine in depth. Discovery, Deployment, Sync.

AI²

Put the AI your teams already use to work. The models your teams already rely on, inside governed, measurable systems.