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Evidence before automation
We start with how work actually runs, not the process diagram people believe is current.
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Process Intelligence & Discovery
Find where time, effort and cognitive load are really being consumed.
Overview
Process Intelligence & Discovery creates an evidence-based view of how work actually happens including handoffs, exceptions, rework, decision points, manual effort and knowledge-intensive steps. This helps ensure transformation starts with the problems that matter most.
The Challenge
Organizations often automate based on visibility or volume rather than economics and cognitive burden. A process map can show the intended flow but miss exception patterns, hidden handoffs, repetitive knowledge work and where employees spend time interpreting or reconciling information. Automating the wrong step can simply move the bottleneck.
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What We Deliver
We turn process evidence into a clear view of where operational effort is being consumed and where transformation can create value.
- Process intelligence baseline: A view of how work actually flows, including bottlenecks, handoffs, exceptions, rework and decision load.
- Opportunity assessment: A structured view of AI, agentic, workflow and process-improvement opportunities, including where
work should remain with people. - Transformation roadmap: A prioritized backlog with value hypotheses, feasibility, readiness, risk and measures for success.
How We Do It
We combine process data, system evidence, operational metrics, workshops and frontline knowledge to model how work really runs. This captures the steps, rules, exceptions, ownership, decisions and context that shape operational reality. KAPS helps structure AI opportunities, while AI Prism can provide formal scoring and sequencing where required.
Discover
Capture the real flow of work across systems, teams, handoffs, exceptions and workarounds.
Expose effort
Quantify cycle time, rework, manual handling, decision load and recurring exception patterns.
Shape opportunities
Determine what should be simplified, automated, agentified, redesigned or deliberately left with people.
Prioritize
Build a sequenced backlog based on business value, feasibility, readiness, risk and measurable outcomes.
What You Get
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An evidence-based map of how work actually flows
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Quantified bottlenecks, manual effort, decision load and exception patterns
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A structured set of AI, agentic, workflow and process-improvement opportunities
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A prioritized transformation backlog with clear value hypotheses
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A baseline for measuring productivity, cycle-time and outcome improvement
Key Accelerators
KAPS
Accion's AI Adoption Framework structures opportunities across Knowledge, Analytics, Process and Systems and connects them to business outcomes.
AI Prism
Scores and sequences shortlisted opportunities across value, feasibility, readiness and risk when formal prioritization is required.
Business Outcomes
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Less investment in low-value or poorly targeted automation
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A prioritized backlog focused on the biggest operational burden and business value
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Shared evidence for business and technology teams to make transformation decisions
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A measurable baseline for proving productivity, cycle-time and outcome improvement
Proof Points
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Why Accion
Cognitive-load lens
We look beyond task volume to identify where people spend time interpreting, reconciling, deciding and coordinating.
Context engineering
Rules, decisions, exceptions, ownership and enterprise relationships are captured so downstream automation has usable context.
Connected path to execution
KAPS and AI Prism shape and prioritize opportunities; selected use cases can move directly into SPEX-led building and engineering.
Outcome baseline from day one
Discovery establishes the measures needed to prove whether automation actually improves productivity and business performance.
Prioritized transformation path
We turn discovery findings into a sequenced backlog based on value, feasibility, readiness and risk.
Find where operational effort and cognitive load are worth removing before you automate.
FAQs
Process Intelligence & Discovery analyzes how business work actually flows to identify bottlenecks, manual effort, decision load, exceptions and AI or automation opportunities.
Traditional process mapping documents the intended flow. Our discovery approach uses operational evidence and business context to expose what actually happens, quantify friction, and connect findings to transformation decisions.
Prioritized opportunities can move into Agentic Process Transformation, Intelligent Workflow Automation, Operational Decision Automation or broader process redesign through SPEX.