Asana’s Work Graph connects goals, projects, tasks and AI agents with the same plan, context and governance. DKM turns that capability into a deployable operating model: workflow design, migration, integration, training and adoption support.
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organizations run on Asana
of the Fortune 100 use Asana
faster execution of business processes
more projects completed on time
Figures are from Asana investor materials, Asana published adoption data and an IDC white paper sponsored by Asana.
Asana uses the Work Graph data model to connect goals, portfolios, projects, tasks, owners, dependencies and status. Agentic Work Management extends that structure with AI Teammates, AI Studio, Asana Dash and MCP-based AI connectors.
Marketing, sales, service, operations and IT can coordinate in one workspace. Ownership, deadlines and dependencies stay attached to the work rather than scattered across conversations.
Goals, portfolios, projects and tasks stay connected, giving leadership a traceable view from strategic priorities to execution details.
Asana AI Teammates work inside the same projects, tasks and permission model as the team, so AI activity can be governed as part of the workflow.
For cross-functional teams
AvailableFor service teams
Coming soonFor teams delivering client work
Coming soonFor developer teams
Coming soonFor every critical workflow
AvailableReady-to-go AI agents for every team
Powerful no-code automations
Your AI Chief of Staff
Work Graph links strategy and execution, giving people and AI agents the context needed to coordinate work under governance.
Asana separates agent collaboration, workflow automation and personal prioritisation into distinct capabilities. DKM maps these capabilities to your process maturity, governance requirements and rollout sequence.
Asana provides prebuilt AI Teammates for marketing, operations and IT scenarios, including campaign briefs, localization, status reporting, launch planning and IT support triage. They operate inside the existing permission model.
Best fit: ambiguous work that requires judgement and iteration.
AI Studio supports visual workflow design for intake, triage, routing and status updates, with execution records and auditability retained in the platform.
Best fit: rule-shaped work where the same input should always produce the same result.
Asana positions Dash as an AI Chief of Staff for goals, priorities and work requiring attention. Availability should be confirmed against current plan eligibility during evaluation.
Best fit: individual prioritisation across a fragmented inbox.
A campaign launch example shows how people, AI Studio and AI Teammates can coordinate across intake, planning, execution and reporting.
Submits a structured campaign request
Classifies scope, market and priority for routing
Converts market inputs into comparable findings
Builds a launch timeline with milestones
Turns notes and strategy into a structured brief
Confirms budget and channel mix
Converts the brief into production-ready specs
Produces assets and links them to tasks
Reviews assets against brand guidelines
Localizes content while preserving brand voice
Drafts leadership-ready status reports
Presents to leadership
Task ownership is only the starting point. Asana is designed to connect work records with objectives, dependencies, governance and AI-enabled execution.
For AI initiatives, the practical constraint is often not model capability but the quality of workflow context, permissions and operating discipline.
Projects and tasks mount natively beneath the objective they serve. A slipping task registers against goal health in real time — no manual roll-up, no secondary reporting layer.
Board-first tools scope reporting to the team boundary. Cross-project roll-up is a manual export, every cycle.
List, board, timeline, calendar and workload render the same records. Delivery, PMO and leadership each read their own view, synchronised in real time, with zero duplicate maintenance.
Where views are separate artefacts, the reporting copy drifts from reality within a quarter.
Agents read the ownership chain, the dependency map and the objectives at risk — so they reassign, escalate, replan and report. Same underlying models; the difference is entirely the context the platform can supply.
An agent reading a flat card list can summarise. It cannot act on structure that was never recorded.
Implementation usually starts where coordination cost is highest, then expands as shared plans, handoffs and reporting become reliable.
Intake forms standardise creative requests. Content calendar and campaign plan share one source. AI Teammates draft briefs, localise copy and issue status updates.
Pre-sales support and delivery run alongside the CRM. Sales-to-delivery handoff triggers automatically. Ramp-up follows a template, not a mentor’s memory.
Tickets escalate into cross-functional tasks with context intact; resolution status returns to the agent. Account health tracked across the full book of business.
Company objectives link directly to the projects that move them. Project intake runs through one front door. Committed capacity is visible before the next deadline is promised.
Inbound requests route automatically. System rollouts become reusable programme templates. Employee onboarding and asset management are standardised.
Product, marketing, sales, support and legal can coordinate around one launch date, with dependencies, owners and risk signals visible before deadlines slip.
on-time project delivery. Globalisation workflows gained 277% efficiency; the marketing team saves 140+ work days annually.
Genesys · Technology · Marketing PMOwork days saved annually through forms, templates and automation, while handling nearly 900 request forms each month.
Zoom · Technology · IT & Business Servicesclient accounts per representative in the retail-media client success team, compared with other business units in the same company.
Skai · Technology · Retail Media Client Successmore advertising campaigns produced per month, with 2x capacity for internal project managers.
Spotify · Media · MarketingPublic customer results are shown for reference only. Outcomes vary by workflow scope, adoption depth and governance maturity.
Asana supports 270+ app integrations. DKM assesses the systems already in your stack, then defines whether the right route is a native integration, Asana API, MCP, iPaaS, or a custom connector.
Deal and ticket context can be connected to delivery tasks, with status updates returned to the source system.
Project, portfolio and capacity data can feed the management dashboards already used by leadership.
Through MCP, compatible AI tools can search Asana work data and create work items under permission controls.
Identity, provisioning, engineering and service desk workflows can be connected for controlled visibility.
Meeting follow-ups and messages can be converted into assigned tasks with due dates.
Creative assets stay connected to the review, approval and publishing workflow.
Cloud procurement, workplace productivity and AI access patterns can be evaluated together during solution design.
Live files can be attached to tasks while source-system permissions remain the reference point.
Billable hours, budgets and headcount can be aligned with the projects that consume them.
Evidence collection, access reviews and DSAR handling can be structured as auditable workflows.
Where a native integration is not sufficient, Asana API, iPaaS or RPA options can be assessed.
DKM supports three Asana procurement routes: purchase through DKM, direct contract with Asana, and AWS Marketplace CPPO where applicable. As both an Asana and AWS partner, DKM can help qualified customers align licensing, private offer preparation and rollout planning before formal quotation.
DKM assigns a consultant to coordinate licensing, implementation, training and stakeholder communication. Multilingual communication and localized enablement are available for regional teams.
Before moving data from legacy work management or issue-tracking tools, DKM reviews the existing workflow model, ownership rules and reporting needs, then rebuilds the target structure in Asana.
Demonstrations and solution workshops are built around your actual team structure, governance requirements and connected systems, so evaluation is tied to the operating model you need to run.
For AWS Marketplace procurement, DKM can support the Asana CPPO route where authorization and buyer conditions apply, helping connect private-offer preparation with implementation, migration and multilingual enablement. Final steps and terms are confirmed during formal quotation.
Compare DKM purchase, direct Asana contract and AWS Marketplace CPPO.
Confirm authorization, seats, term and buyer AWS account details where CPPO applies.
Buyer reviews the AWS Marketplace private offer; final terms follow the released offer.
DKM proceeds with workspace setup, migration, integrations, admin training and end-user enablement.
For teams that prefer a partner-led commercial and delivery arrangement outside AWS Marketplace, DKM can coordinate Asana licensing, service scope, implementation planning, training and regional communication under one engagement.
If your organization needs to contract directly with Asana, DKM can still support workflow design, migration, integrations, training and adoption as an implementation and enablement partner.
