Official workflows show how work should happen. Real execution includes exceptions, emails, local workarounds, waiting, repeated handoffs and manual coordination. Facthory reconstructs that operating reality before teams decide what to change.
Reveal work moving between people, teams and systems outside the documented workflow.
Expose queues, stalled approvals and idle time that are difficult to see from task completion alone.
Find loops, corrections, duplicate entry and repeated clarification that consume effort without improving the outcome.
Compare how the same process differs across teams, sites, products and exception paths.
Separate necessary controls from duplicated approvals, historical habits and administrative steps with weak value.
Facthory combines process evidence across enterprise systems and human work to identify the patterns that deserve redesign, automation or closer control.
Locate steps where work accumulates, approvals stall or downstream teams wait for upstream completion.
Identify repeated corrections, duplicate processing and recurring returns to earlier steps.
Map cross-team dependencies and information transfers that create delay, ambiguity or ownership gaps.
Compare normal paths with local, product-specific and exception-driven execution to understand why performance differs.
Find repetitive, rules-based or coordination-heavy work that may be suitable for system or agent-assisted execution.
Distinguish required safeguards from process overhead so optimization does not remove necessary quality, safety or compliance controls.
Facthory keeps discovered workflows connected to the evidence, timing, dependencies and control context behind them so teams can redesign work from an inspectable operating model rather than a workshop assumption.
Keep process steps tied to the system events, documents, communications and operational activity that support them.
Separate active work from waiting, queue time and repeated movement between steps.
Show the people, teams, systems and upstream conditions each step depends on.
Keep legal, safety, quality, financial and internal controls visible when evaluating improvement opportunities.
Remove the duplicated approval in the highest-delay path, preserve the mandatory control, automate the status handoff and measure cycle time, rework and exception volume before expanding the change.
Facthory turns process improvement into a persistent cycle that begins with actual execution, tests the causes of friction and preserves what teams learn from each change.
Reconstruct the current process from systems, documents, communications and observed operational activity.
Analyze delay, rework, handoffs, variants, exceptions and controls to determine what is driving poor performance.
Propose targeted simplification, automation and ownership changes while preserving required controls and accountability.
Compare execution after the change, validate whether performance improved and preserve the result for the next optimization cycle.
Facthory keeps process discovery and optimization connected so each redesign can be tested against the operational evidence that follows.
Collect the traces created by systems, documents, communications and human activity.
System events
Documents
Communications
Human activity
Durable agents can investigate process evidence over time while process owners and domain experts challenge assumptions, validate constraints and decide which changes should move into production.
Run long-lived investigations across changing process evidence without restarting analysis from scratch.
Let process owners, operators, control functions and agents work from the same evidence and optimization context.
Preserve baselines, hypotheses, changes, decisions and measured outcomes so later optimization begins with what the organization already learned.
A shared understanding of how work actually flows helps operations, transformation, control functions and technology teams improve the same process from a common evidence base.
• Reduce waiting time • Remove repeated rework • Simplify handoffs
• Prioritize automation opportunities • Redesign cross-system workflows • Measure transformation impact
• Preserve required controls • Expose control bottlenecks • Review material exceptions
• Compare process variants • Build improvement memory • Sustain continuous optimization
Enterprise work is increasingly fragmented across communication, systems and automation, making operational friction harder to see without reconstructing the full process.
Microsoft reports employees are interrupted roughly every two minutes during the core workday.
Atlassian research found knowledge workers spend a majority of their time coordinating work rather than performing core work.
Microsoft reports nearly half of leaders say their organizations already use agents to fully automate workstreams or business processes.
Facthory can recommend changes from observed process evidence, but organizations remain responsible for deciding which controls are mandatory, which changes are acceptable and who can authorize production execution.
Base improvement proposals on inspectable process evidence rather than assumptions about how work operates.
Source evidence
Process trace
Timing data
Variant context
Choose one process with visible delay, rework, inconsistent execution, manual coordination or automation pressure, then prove the discovery and optimization loop before expanding to adjacent workflows.
Discovery becomes more useful when workflow evidence, enterprise systems, people, controls and durable agent work stay connected to one operational model.
Reconstruct real workflows, diagnose friction and turn validated operating models into governed process and SOP improvements.
Connect processes to the people, systems, assets, knowledge, decisions and outcomes that explain how work behaves.
Bring enterprise data, systems, APIs and operational sources into the evidence base required for cross-system process discovery.
Capture process evidence from documents, video, audio, images, conversations and real activity.
Run durable, multiplayer investigations that preserve process context across long-running improvement work.
Keep consequential redesign, control changes and operational decisions under explicit human authority.
The solution is designed to reveal operating reality and support evidence-based improvement without assuming every process variation is waste or every existing control should remain unchanged.
Inputs may include:
The platform can extract steps, responsibilities, prerequisites, warnings, required evidence, and decision points. Procedures can then move through review, approval, versioning, translation, publication, and scheduled reassessment.
With appropriate authorization and governance, the platform can identify:
Facthory also supports expert escalation, question routing, project coordination, scheduling, and agent-assisted follow-up without requiring every discussion to move into a new application.
Explore Expert Collaboration and Communication Intelligence.
Depending on the use case and video quality, the platform can identify and extract:
Video intelligence can be combined with documents, system records, images, and expert review to create a more complete understanding of operational work.
Explore Video-Based Operational Intelligence or book a video-analysis demonstration.
A focused initial deployment can typically begin with:
Enterprise programs may expand progressively across additional teams, systems, sites, and solutions. Private-cloud and on-premises deployments require additional infrastructure, security, and operational planning.
The recommended approach is to begin with a measurable use case and establish the platform foundation required for later expansion.
Book a discovery session to receive an implementation assessment.
Start with one high-friction workflow. Facthory reconstructs the real process, identifies where time and effort are lost, preserves required controls and measures whether the redesigned process actually performs better.
