The Accelerated Contextual Delivery engine
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Outcome-priced engagements, with a guaranteed delivery window.
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Start at any industry, reach any solution, and back. Industry knowledge plus Rapid Deploy.
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How Toshiba's hardware teams were testing their own Jira by the second meeting.
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Our point of view on Accelerated Contextual Delivery, the model behind delivery in days.
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PROOF
Outcome-priced engagements, with a guaranteed delivery window.
See the ResultsHOW IT CONNECTS
Start at any industry, reach any solution, and back. Industry knowledge plus Rapid Deploy.
Enterprise platforms went AI-native. Implementation didn't follow. Trundl built the operating model that closes the gap, with the engine that runs it.
Capture, configuration, and migration risk each used to consume a months of the calendar. AI changed the math.
Months spent in stakeholder interviews to map an environment.
Context Captured in Hours. AI-aided discovery becomes self-healing and rapid.
Sprints of manual builds. Expensive tribal knowledge. Scope creep as a feature.
Done in days. AI covers design for fit, governance, and configuration.
Weekend cutovers. Rollbacks and compromises no one could afford.
Iterative and fast. Source and target connected while teams move at their pace.
The customer’s environment is the input. No templates.
The customer’s environment is the input. No templates.
Audit, compliance, and change-control built into the configuration layer.
Fixed packages. Guaranteed delivery windows. The commercial model is the commitment.
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.
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.
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.
What gets delivered is contractually defined at signing. Price becomes much less sensitive to scope changes.
7-15 business days, in writing. Use-case windows for enterprise programs, scoped in Discovery.
A validated, working solution delivered rapidly, leaving budget and bandwidth for support and training.
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.
Multiple enterprise engagements are active across healthcare, financial services, and manufacturing. These are the regulated, multi-instance environments where labor-led delivery fails hardest.
Five connectors run today: Jira, JSM, Smartsheet, Asana, Freshservice. Each connector ships against a validated customer use case, not against a release schedule.
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.
Co-CEO, Trundl
Bring the program you’re scoping for the next two years. We’ll map the 90-day path.
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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.
The platform move and the workflow transformation, in one engagement.
ITSM into ESM and CSM, on one platform.
Governed AI rollout on your platforms.