Redesign the workflow before you add an AI agent. Agentic AI planning starts by deciding what deserves to be built, how the work should change and where the boundaries belong. Agentic AI Canvas connects the problem, people, systems, value and risk in one shared plan, before implementation becomes an expensive way to discover missing answers.
The useful work happens between the idea and the build: sources, handoffs and decisions, made visible together.
Try a planning lens
An answer is a start. A handoff needs a plan.
A consulting team wants help drafting project briefs. Choose a lens to see the questions behind the draft.
Illustrative planning exercise. This is not a live Canvas or an automated approval system.
The initial request
“Draft a project brief from these notes.”
Add the operating context · Source authority
Which version can we trust?
Name the approved scope document. When meeting notes disagree, flag the conflict for the engagement lead.
Read all three planning questions
Which version can we trust?
Name the approved scope document. When meeting notes disagree, flag the conflict for the engagement lead.
Who owns the commitment?
The engagement lead reviews scope and approves commitments before the brief reaches the client.
What happens when we are unsure?
Keep unresolved scope out of a final commitment. Record the open question and return it to the responsible person.
One shared understanding
The Canvas and Agentic Brain connect context, systems, open questions and reviewed sources so business and technical teams can challenge the same opportunity.
Readiness and value, asked separately
Readiness asks what needs preparation. Agentic ROI examines the value case. A complete-looking Canvas does not collapse those questions into a single promise.
Every output from one model
Prepare summaries, slides, a blueprint, diagrams and an implementation plan from the evolving model. Review assumptions and refresh generated outputs deliberately.
Four reasons to plan before you build.
Strategy, workflow, value and control are decisions to make before implementation. These studies and one documented incident show why those decisions deserve attention. Here is how Canvas helps your team act on each lesson.
Strategy and readiness
Survey finding
35%
reported no formal agentic AI strategy
An AI mandate is not a plan.
Deloitte reported that 35% of organisations had no formal agentic AI strategy. In a separate adoption question, 38% were piloting agents and 11% had them in production.
A pilot can demonstrate activity without establishing what the business should change. Start with an opportunity the team can explain, own and measure.
How Canvas helps
Canvas gives business and technical teams one place to define the problem, accountable owner, target outcomes and constraints. The Agentic Brain connects that context with open questions, while AI Readiness helps expose what still needs preparation.
What your team takes into delivery
A shared opportunity with a clear problem, an owner, measurable outcomes and visible readiness gaps.
Workflow and human judgement
Survey association
Nearly 3×
as likely to report fundamental workflow redesign
Redesign the work. Do not just add an agent.
McKinsey found that AI high performers were nearly three times as likely as other respondents to report fundamentally redesigning their workflows.
Faster work is not automatically better work. Adding an agent to an unclear handoff can accelerate the wrong process.
How Canvas helps
Use Canvas to map people, inputs, decisions, systems and handoffs, then challenge where AI belongs and where a person should retain judgement. Carry that shared operating model into the Solution blueprint and Implementation plan.
What your team takes into delivery
A proposed workflow with defined handoffs and clear roles for people and AI, not an agent looking for a job.
Business value and risk
Forecast
>40%
forecast to be cancelled by the end of 2027
Make the business case before the bill arrives.
Gartner forecast that over 40% of agentic AI projects would be cancelled by the end of 2027, citing rising costs, unclear business value and inadequate risk controls.
A working demo does not establish that the outcome is worth the cost. Test the value case while changing direction is still a planning decision.
How Canvas helps
Use Agentic ROI to examine expected value, cost assumptions and supporting evidence. Review AI Readiness and Security Review alongside it, so a promising benefit does not hide a blocker. Decide what to validate, narrow or defer before committing to delivery.
What your team takes into delivery
A business case the team can challenge, with cost assumptions, value evidence and risks made explicit.
Ownership and permissions
Documented incident
Production data deleted
despite a code freeze in July 2025
Define the boundaries before granting access.
SaaStr’s Jason Lemkin reported that Replit’s agent deleted production data during a code freeze. Replit acknowledged the deletion; the data was later recovered and stronger development/production separation was introduced.
“Do not touch production” is an instruction. A permission boundary must make the prohibited action unavailable.
How Canvas helps
Use Canvas and Security Review to make permitted data access, human approvals, escalation paths and accountable ownership explicit. Carry those requirements into the Implementation plan, where the delivery team must enforce and test them before granting access.
What your team takes into delivery
A reviewable control plan for the delivery team. Canvas documents the boundaries; the runtime must enforce them.
The Canvas closes the planning gap. Your team still has to implement, test and operate the solution.
These sources did not evaluate Agentic AI Canvas. Planning makes assumptions, gaps and control requirements reviewable; it does not guarantee ROI, certify compliance or enforce production permissions.
These tools can complement each other. Capabilities vary by product; the useful distinction is the work you need to do next.
A general AI assistant
Explore a question, analyse material or draft an answer. Some assistants also offer projects, memory and tools.
Choose Canvas when the team needs a guided operating model that connects the opportunity, systems, evidence gaps, readiness and planning outputs.
A form or planning template
Collect consistent inputs and apply an established process. Validation can help keep the record complete.
Choose Canvas when discovery needs to continue after the first answers. Filled sections remain distinct from readiness and value confidence.
A document or diagram tool
Create and refine a deliverable, often with AI assistance and connected source material.
Choose Canvas when you need to develop the business and operating context behind several deliverables, then deliberately refresh them as the model changes.
An agent or workflow builder
Implement prompts, tools, triggers and execution in a chosen environment.
Choose Canvas earlier, when the team still needs to agree what the workflow should do, which sources it needs and who controls its decisions. Carry the reviewed plan into delivery.
See the difference in a handoff.
Suppose a consulting team wants AI to draft project briefs. A draft is useful; a plan also needs the authoritative source for scope, a process for conflicting notes and an engagement lead who approves commitments. Canvas helps describe that complete workflow before someone implements it.
Today the Brain is a descriptive, updateable model. It does not continuously observe your business or act as a live digital twin. Its practical value is a shared place to correct context, expose unknowns and prepare the next decision. Operational connections and deployment require separate implementation work.
Why redesign a workflow before adding an AI agent?
An agent added to a process nobody has examined inherits its unclear handoffs, missing context and unowned decisions. Deciding what the work should look like first shows where an agent can help and where a simpler change is enough.
Can I just try an agent on the current process?
You can, and a small experiment can teach you something. It is cheaper to find out first who owns the workflow, which sources are authoritative and where a person must decide, so the experiment tests a clear question.
What does Canvas add over a chatbot?
A chatbot can help you think and draft. Canvas keeps one connected plan for the opportunity, systems, evidence gaps, readiness and value, so several people can review the same thing and see what is still unknown.
Bring one workflow, the people involved and the outcome you want. You do not need every answer to begin. Build a shared plan, expose what is missing and decide what deserves to happen next. Keep sensitive details out of examples.
