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ClearWork: Transform How Work Actually Gets Done
Digital transformation projects often fail because organizations don’t have a clear, data-driven view of how work really happens. ClearWork was built to solve that problem. Our platform combines task-level process intelligence, transformation planning, and AI orchestration to give enterprises a faster, more effective path from today’s challenges to tomorrow’s outcomes. By grounding change initiatives in real user activity and automating the hardest parts of transformation, ClearWork makes it possible to move beyond theory and start improving work in practice.
ClearWork operates across three core capabilities:
1. Map Processes: Reveal the Current State of Work
Most companies rely on interviews, workshops, and consultant observations to capture their current state. The result is subjective, time-consuming, and incomplete. ClearWork replaces guesswork with hard data.
Using lightweight browser instrumentation, ClearWork captures actual user interactions across enterprise systems: webpages visited, clicks, time on task, navigation paths, and field inputs. These signals are stitched together into sequential activity timelines, delivering a precise map of how processes like quote-to-cash, ticket triage, or expense approvals actually unfold.
With this foundation, leaders can see:
Process bottlenecks where time is wasted or handoffs fail.
Repetitive manual tasks ripe for automation.
Compliance risks and deviations from intended workflows.
Persona-specific views that show how different roles experience the same process.
This data-driven current state map becomes the single source of truth for transformation, replacing the weeks of interviews and sticky-note workshops that once defined process discovery.
2. Plan Future Processes and Use Cases: Design with Confidence
Once the current state is clear, ClearWork shifts into planning mode. Here, the platform makes it simple to move from analysis to action.
Visual Process Editor: A BPMN-style editor allows teams to design their future-state workflows, using the captured current state as a baseline.
Automation Recommendations: AI highlights steps that can be eliminated, automated, or streamlined, providing real-time suggestions for optimization.
SOP Auto-Drafts: Standard operating procedures can be automatically generated from the discovered workflows, giving teams ready-to-use documentation.
Transformation Playbooks: ClearWork aligns future-state designs with organizational goals, governance requirements, and compliance needs, ensuring every process is both efficient and viable.
Beyond process optimization, ClearWork makes it easy to identify and validate GenAI use cases. Instead of piloting AI in isolation, teams can ground AI initiatives in real process data—showing exactly where AI can reduce manual effort, improve decision-making, or orchestrate work across multiple applications.
By connecting process intelligence with use case planning, ClearWork gives enterprises the confidence that every transformation effort is targeted, feasible, and aligned to business outcomes.
3. Drive Adoption & AI Orchestration: Make Change Stick
The hardest part of transformation isn’t designing the new process—it’s getting people to adopt it. ClearWork embeds adoption directly into the flow of work.
In-Flow Guidance: Users see contextual prompts, nudges, and reminders within the applications they already use, helping them follow new processes without friction.
Persona-Based Coaching: Different roles receive guidance tailored to their responsibilities, ensuring relevance and reducing change fatigue.
ADKAR-Aligned Support: ClearWork’s guidance framework is structured around industry-standard change management models, accelerating awareness, desire, knowledge, ability, and reinforcement.
Continuous Feedback Loops: The platform collects feedback from employees as they interact with new workflows, giving leaders a real-time view of adoption success and areas needing refinement.
At the same time, ClearWork provides a foundation for AI orchestration. Once processes are mapped and future-states are defined, AI agents can be grounded in real organizational data—both the process data (how tasks are completed) and the business data (the information that drives decisions). With these guardrails, ClearWork ensures that AI agents can:
Execute routine tasks fully autonomously.
Escalate or request approval for high-impact actions.
Coordinate across applications like Salesforce, SAP, Workday, or ServiceNow.
Serve as trusted copilots, orchestrating downstream AI agents to manage end-to-end workflows.
This combination of adoption and orchestration ensures that transformation isn’t just planned—it’s lived, reinforced, and extended by AI.