See how work really happens - then fix it
Toonimo Process Intelligence discovers your business processes from the way people actually navigate your applications, shows you exactly where they get stuck, and turns those findings into guided walkthroughs, in-app help, and automation.
- New hire onboardingConformant
- Expense submissionDeviation
- Purchase requisitionFriction
What it is
Process intelligence built into your digital adoption platform
Process Intelligence (TPI) learns your processes from real usage. Instead of asking analysts to draw workflows in a modelling tool, it clusters the journeys people actually take through your applications into named processes, each with its sub-processes, a discovered step sequence, and a confidence score.
Discovery runs on a recurring schedule, so the picture stays current as your applications, teams, and workloads change. Nothing is collected until an administrator switches it on for a project.
Because it lives inside Toonimo, every finding has somewhere to go: a friction point can become a walkthrough, a repeated task can become an automation, and a discovered process can become a standard operating procedure your team actually follows.
Insight is only half the job
Toonimo both sees the problem and fixes it, so a finding never has to wait for a second vendor.
Analytics that stop at a report
You learn where people struggle, then start a separate project - and a separate purchase - to do something about it.
- Findings arrive as dashboards and exports
- Fixing anything needs another tool and another rollout
- Business cases are built on estimates, not modelled numbers
Insight that becomes intervention
Findings feed straight into the guidance, walkthroughs, and automation already running in your applications.
- Turn a discovered process or learned pattern into a draft procedure, then publish it as a live walkthrough
- Place guidance on the exact page where friction was detected
- Rank automation opportunities by priority and model the return before you build
Capabilities
From discovery to intervention
Every capability reads the same behavioural evidence, so findings connect to each other instead of living in separate tools.
Discover how work really flows
Automatic process discovery
Real user journeys are clustered into named processes on a recurring schedule. Each process can carry sub-processes and a discovered step sequence, with a confidence score so you know how strong the evidence is.
Conformance analysis
Compare the intended happy path with what people actually do. See a conformance percentage per process, how many sessions conformed or deviated, and where extra or skipped steps appear - then drill into deviations on a flow graph.
Journey pattern learning
Repeated task patterns are learned from observed behaviour and scored by confidence and learning phase, surfacing automation opportunities ranked by priority.
Find the friction before it becomes a ticket
Friction detection
Friction points are ranked by severity with the affected page, how often they repeat, and where rage-click bursts happen. Review them as a heatmap of processes against friction types, watch the trend over time, and export to CSV.
Sentiment signals
Positive, neutral, and negative sentiment is derived from real interaction behaviour, trended over time and broken down by page, alongside an average sentiment score.
Anomaly detection
Unusual deviations are flagged per process and per user with a severity, an anomaly score, and what changed compared with the baseline. Each anomaly moves through open, investigating, and resolved.
Understand your workforce, not just your software
Proficiency analytics
Users are graded on speed, accuracy, and autonomy per application and per process. See the grade distribution, skill gaps by application, and a client-wide view rolled up across every project.
Burnout signals
Speed decay and quality decay patterns are detected per user, with severity bands and trends, so workload problems surface before quality slips.
Capacity forecasting
Forecast demand against capacity per process, with utilisation and the resulting gaps, and get a warning when utilisation crosses your threshold.
Turn findings into action
Procedure generation
Generate a draft standard operating procedure from a discovered process, a learned pattern, or a happy path. Rename it, review it step by step, and publish it as a live Toonimo walkthrough.
ROI simulation
Model investment, estimated annual savings, ROI, and payback period per automation, and test scenarios with a what-if simulator for hourly rate, minutes per run, hours per procedure, and monthly executions.
Knowledge preservation
Capture expert workflows as reusable models, so institutional knowledge survives staff turnover and role changes.
Sustainability and ESG audit
Score processes on a carbon proxy, circular navigation, redundant actions, and average latency, with efficiency recommendations you can act on.
Four steps from switch-on to intervention
No workshops, no process modelling exercise - the work you already do is the input.
- 1
Switch on collection
An administrator opts a project in and chooses the scope. Page navigation, viewport content, and interaction events are independent switches, and nothing is collected before they are enabled.
- 2
Processes are discovered
Real journeys are clustered into named processes with sub-processes, step sequences, and confidence scores, refreshed on a recurring schedule.
- 3
Analyse and prioritise
Review conformance, friction, sentiment, anomalies, proficiency, and capacity, and subscribe to email alerts on burnout, anomaly, and capacity thresholds.
- 4
Intervene in the same platform
Draft a standard operating procedure, publish it as a guided walkthrough, place in-app guidance where friction was found, or automate the task - with the return modelled first.
Outcomes
What teams do with it
Process Intelligence is useful the moment it changes a decision - about guidance, training, automation, or headcount.
Fix the steps that actually hurt
Guidance goes where deviations, repeat friction, and negative sentiment were measured, not where someone guessed.
Standardise how work gets done
Discovered happy paths become standard operating procedures and live walkthroughs, so the best route becomes the default route.
Automate with a business case
Automation opportunities arrive ranked by priority with modelled savings and payback, so investment decisions are grounded in evidence.
Protect the people doing the work
Burnout signals, proficiency grades, and capacity forecasts show where training or headcount is needed before quality slips.
Keep expertise when people leave
Expert workflows are captured as reusable models, so institutional knowledge outlives staff turnover.
Report on efficiency and ESG
Process-level efficiency scoring gives operations and sustainability teams a shared, evidence-based view.
Trusted By
Privacy and control
Nothing is collected until you turn it on
Process Intelligence is opt-in per project, and administrators decide the scope of what is collected.
Off by default
Collection is enabled per project by an administrator. Until then, no process data is gathered.
Three independent switches
Page navigation data, viewport content, and user interaction events are each controlled separately.
Reversible at any time
Turn any switch off whenever you need to, without affecting the rest of your Toonimo deployment.
Questions
Process Intelligence FAQ
Ready to see how work really happens?
Book a walkthrough of Process Intelligence and we will show it on a process that looks like yours.
Get a Demo