A new operating model for enterprise platform implementation.

Enterprise platforms went AI-native. Implementation didn't follow. Trundl built the operating model that closes the gap, with the engine that runs it.

The SaaS implementation industry lived off of three costly realities. None exist now.

Capture, configuration, and migration risk each used to consume a months of the calendar. AI changed the math.

01
Capture

01 Capture

Yesterday

Months spent in stakeholder interviews to map an environment.

Today

Context Captured in Hours. AI-aided discovery becomes self-healing and rapid.

02
Configuration

02 Configuration

Yesterday

Sprints of manual builds. Expensive tribal knowledge. Scope creep as a feature.

Today

Done in days. AI covers design for fit, governance, and configuration.

03
Migration

03 Migration

Yesterday

Weekend cutovers. Rollbacks and compromises no one could afford.

Today

Iterative and fast. Source and target connected while teams move at their pace.

Delivery is the IP.

Rapid Deploy Contextual Delivery's first to market model

Context-led

The customer’s environment is the input. No templates.

AI-orchestrated

The customer’s environment is the input. No templates.

Contextual Delivery's first to market model

Audit, compliance, and change-control built into the configuration layer.

Outcome-priced

Fixed packages. Guaranteed delivery windows. The commercial model is the commitment.

Context drives changes in hours,
not from weeks of workshops

For thirty years, capturing how teams actually work required weeks of interviews using expensive resources. AI has changed the game, by ingesting SaaS configurations, documents, and transcripts you have. Change is now rapid.

AI configures. Experts verify.
You validate.

Most AI in enterprise services applies at one step: scripting, documentation, or test generation. They are productivity tools inside an unchanged delivery model. Contextual Delivery applies AI across the whole lifecycle: capture, build, connect. Your team validates each step live. The engine handles configuration. The team handles the business decisions. AI in the engine room. Human in control.

Context drives changes in hours,
not from weeks of workshops

For thirty years, capturing how teams actually work required weeks of interviews using expensive resources. AI has changed the game, by ingesting SaaS configurations, documents, and transcripts you have. Change is now rapid.

Fixed delivery. Guaranteed windows. The model ensures the commitment.

AI-orchestrated

What gets delivered is contractually defined at signing. Price becomes much less sensitive to scope changes.

Guaranteed windows

7-15 business days, in writing. Use-case windows for enterprise programs, scoped in Discovery.

The handoff

A validated, working solution delivered rapidly, leaving budget and bandwidth for support and training.

Rapid Deploy is the first to market Contextual Delivery model.

Configured for the industries where generic deployments fail.

Toshiba moved 100 users across 8 teams off Smartsheet into Jira in a single day, from a 60-page WBS document. Workflow transformation was included in the package, not held back for a separate engagement.

ENTERPRISE PIPELINE

Multiple enterprise engagements are active across healthcare, financial services, and manufacturing. These are the regulated, multi-instance environments where labor-led delivery fails hardest.

CONNECTOR LIBRARY

Five connectors run today: Jira, JSM, Smartsheet, Asana, Freshservice. Each connector ships against a validated customer use case, not against a release schedule.

The argument your diligence team can pressure-test.

The Contextual Delivery Foundational Whitepaper argues that context-led delivery is the operating model the next decade of enterprise platform implementation will run on. It describes the four operating principles in detail, models the economics of the shift, and makes the case for moving your next engagement onto Contextual Delivery.

"Owning context, where data and conversations live, is the differentiator and key to winning AI-driven work."

Patrick Howell,

Co-CEO, Trundl

Thirty minutes. Bring your roadmap. We'll tell you whether Contextual Delivery fits.

Bring the program you’re scoping for the next two years. We’ll map the 90-day path.

Or book a Rapid Deploy Assessment.

Common questions.

What is Contextual Delivery?

Contextual Delivery is the operating model that turns business context into production-ready systems in days, governed by design and priced on outcomes. Trundl pioneered the category. Rapid Deploy is the engine that runs it. Contextual Delivery is the operating model that turns business context into production-ready systems in days, governed by design and priced on outcomes. Trundl pioneered the category. Rapid Deploy is the engine that runs it.

Labor-led delivery is hours billed against scope, methodology decks, scope creep as a structural feature. Contextual Delivery is context-led. The engine reads the environment, builds the configuration with AI, governs it at the configuration layer, and prices on what gets delivered. The commercial model is the commitment.Labor-led delivery is hours billed against scope, methodology decks, scope creep as a structural feature. Contextual Delivery is context-led. The engine reads the environment, builds the configuration with AI, governs it at the configuration layer, and prices on what gets delivered. The commercial model is the commitment.

The engine that captures context, builds the configuration, and connects platforms is what Trundl owns and operates. Discovery, Deployment, and Sync are the three named capabilities. What we built is the engine that runs them. That is what makes Rapid Deploy first to market.

Discovery and Deployment run on Atlassian (Jira, JSM, Confluence). Sync runs across Atlassian, monday Work Management, and six source-platform connectors. The platform reach expands against customer demand.Discovery and Deployment run on Atlassian (Jira, JSM, Confluence). Sync runs across Atlassian, monday Work Management, and six source-platform connectors. The platform reach expands against customer demand.

Contextual Delivery is industry-agnostic. The engagements running today are concentrated in regulated, multi-instance environments where labor-led delivery fails hardest: healthcare technology, financial services, manufacturing, and any organization carrying multiple acquired entities through consolidation.

Fixed packages with guaranteed delivery windows of seven to eighteen business days. Rapid Deploy Days are four-hour live build sessions with your team in the room. Post-handoff support and training included. The full engagement model lives on the How It Works page.Fixed packages with guaranteed delivery windows of seven to eighteen business days. Rapid Deploy Days are four-hour live build sessions with your team in the room. Post-handoff support and training included. The full engagement model lives on the How It Works page.

Trundl is a solution partner with Atlassian and a Silver Partner with monday.com. Contextual Delivery engagements can run alongside existing partner work, replace a stalled engagement, or pick up where a prior partner left off. Most Contextual Delivery engagements arrive after the third attempt at a transformation.

Governance is built into the configuration layer, not patched on after. Audit trails are generated for every configuration change. Role-based access and change-control are part of the workflow generation. ISO 27001:2022 certified, SOC 2 Type II compliant, GDPR aligned. Governance is built into the configuration layer, not patched on after. Audit trails are generated for every configuration change. Role-based access and change-control are part of the workflow generation. ISO 27001:2022 certified, SOC 2 Type II compliant, GDPR aligned.

Latest from Trundl.

Migration²

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

CSX²

ITSM into ESM and CSM, on one platform.

AI²

Governed AI rollout on your platforms.