AI & Automation
Business Process Intelligence
See how work actually flows through your business — where it stalls, where it costs, and where to improve — using AI and the operational data your systems already produce.
Business Process Intelligence: the overview
Most organizations have a diagram of how a process is supposed to work, and very little visibility into how it actually works. The reality is hidden in the timestamps and records your systems already produce: where things wait, which steps get skipped, why some cases take far longer than others. Business process intelligence surfaces that reality.
We turn the operational data from your ERP, CRM, ticketing and other systems into a clear picture of your real processes — the true paths cases take, where they stall, what they cost in time, and how much they vary. AI helps spot the patterns and the outliers, so you find the bottlenecks and improvement opportunities that matter, not the ones you assume.
The result is a factual basis for improvement and automation: you can target the biggest bottleneck first and measure whether a change worked. Because it’s built on your data, it can become an ongoing lens on operations — and a natural step before automating the work it shows is worth automating, for example with workflow automation.
What Business Process Intelligence includes
Process Discovery from Data
Reconstruct how processes really run from your systems’ event and timestamp data.
Bottleneck & Delay Analysis
Pinpoint where work waits, stalls or loops, and what it costs in time.
Variation & Outliers
Reveal why some cases take far longer and where the process diverges.
KPIs & Cycle Times
Measure throughput, cycle times and adherence to your intended process.
Opportunity Identification
Highlight the places most worth improving or automating, with the cases behind each finding.
Dashboards & Monitoring
Ongoing dashboards so you track process health and the effect of changes.
Who Business Process Intelligence is built for
Operations leaders
Replace assumptions about your processes with evidence of how they run.
Continuous-improvement teams
Target the real bottlenecks and measure the impact of changes.
Automation planners
Find and prioritize the steps genuinely worth automating.
Multi-system organizations
See end-to-end processes that cross several systems and teams.
Is business process intelligence the right choice?
A good fit when
- Your systems record timestamps for each step, such as created, assigned, approved and closed.
- Cycle times vary widely and no one can explain why.
- A process crosses several systems or teams, and each sees only its own slice.
- You are planning automation and want evidence of where it will help.
Consider another option when
- Steps happen in email or on paper with no timestamps; the process needs capturing digitally first, see workflow automation.
- You only need KPI totals; a business dashboard is simpler.
- Your ERP or a process-mining product you already license covers the process; configure that first.
Usually in a first release
- One process (for example order-to-cash or purchase-to-pay) from agreed source systems
- An event log built from your systems’ timestamps, with a data-quality report
- A process map showing paths, waits, loops and variants
- Cycle-time and bottleneck analysis, with the cases behind each finding
- A dashboard to track the process after changes
Outside the first release unless agreed
- Additional processes or source systems beyond the approved scope
- Implementing the improvements or automation it identifies (scoped separately)
- Task mining from desktop activity or screen recording
- Fixing data capture in the source systems
Anything outside the approved scope is reviewed and agreed before work begins. See how we work.
Data, controls, responsibilities and ownership
Data migration and integrations
- The analysis needs, for each step, a case ID, an activity name and a timestamp. We check early whether your systems record these and how reliably.
- Data is extracted through APIs, database views or exports, read-only, so analysis cannot change operational records.
- Staff identifiers can be pseudonymized before analysis, and what is reported by person, if anything, is agreed with your HR and data-protection leads.
- We document which data goes to which model provider for each workflow, and keep personal or sensitive fields out of prompts where the task does not need them.
- Where your policy requires it, open-weight models hosted in your own cloud account or on your own servers are an option. They usually mean more hosting effort and can be less accurate on hard cases, so we compare them on your test set before you decide.
Roles, approvals and audit
- Process, not people
- Findings focus on the process; any person-level view is agreed in advance and limited to named roles.
- Access by role
- Process owners see their processes; sensitive fields are masked for wider audiences.
- Findings checked with owners
- Each finding is reviewed with the people who run the process before it is acted on, so data artefacts are not mistaken for problems.
- Audit logging
- Access to the analysis and exports of case-level data are logged.
What we need from your team
- A process owner who explains how the process is meant to work and reviews findings.
- Read-only access to the source systems, and someone who knows what each status and timestamp means.
- Agreement from HR and data-protection leads on how staff data is treated.
- Time for one or two workshops to walk through the findings.
Ownership, support and running costs
- Project code, prompts, configuration and evaluation sets transfer to you on full payment, and your data and documents are yours throughout. Third-party foundation models remain the provider’s and are used under the provider’s terms; see our IP and ownership policy.
- Model provider, hosting and storage accounts are set up in your organization’s name where possible, so usage, retention settings and terms sit between you and the provider.
- Running costs by category: data extraction and storage, compute for analysis and scheduled refreshes, dashboard hosting, any model or API usage, and monitoring. Amounts depend on data volume and refresh frequency.
- Providers update and retire models. A maintenance and support agreement covers re-running your evaluation set and adjusting prompts when that happens.
Related reading for this decision
- Workflow automation
The usual next step once the analysis shows which steps are worth automating.
- Business dashboards
For ongoing KPI reporting alongside the process view.
- What is business process automation?
A plain guide to choosing which processes to automate first.
- Security and data protection
How operational and staff data is accessed, stored and retained.
How we deliver Business Process Intelligence
Custom software built around the way your business works. Five steps, with a free pilot of 2 to 3 key modules before the full build.
Step 1: Understand
We learn how your business works.
Your requirements, workflow, challenges and goals, understood before anything is recommended.
Step 2: Plan
We design the right solution around your workflow.
Modules, workflows, roles, approvals, reports and integrations, agreed before development.
Step 3: Select Technology
Choose the right technical foundation.
Technology options matched to your users, security, budget and growth, not one fixed stack.
- Free pilot
Step 4: Pilot
Test our work before full project development.
Free. You choose 2 to 3 key modules and we build them first, so you can judge our work.
The full project starts only after you approve the pilot.
- Full project
Step 5: Build & Scale
From approved pilot to complete digital system.
Full development, testing, deployment, training and support, built to grow with you.
Guides for this decision
In-depth, practical reading for teams planning this kind of project.
- Guide · 9 min readBusiness Dashboards People Actually Use: KPI Definitions, Data Sources and RefreshA dashboard gets used when every tile supports a decision, every KPI has a written definition and the data refreshes as fast as the decision needs. This guide gives a KPI template, refresh trade-offs and a worked distributor example.Read the guide
- Guide · 9 min readApproval Workflow Design: Approval Matrices, Delegation and Audit TrailsA good approval workflow routes each request to the right people by rule, enforces segregation of duties and records every decision. This guide covers approval matrices, delegation, re-approval rules, audit trails, testing and a design checklist.Read the guide
Business Process Intelligence FAQ
The event and timestamp data your systems already record — when each step in a process happened, in your ERP, CRM, ticketing or operations systems. If that data exists and is reasonably complete, we can reconstruct how the process actually ran.
A normal dashboard reports totals and KPIs. Process intelligence reconstructs the actual flow of work — the paths, waits, loops and variations — so you see how the process behaves, not just its outputs, and where to intervene.
Yes. By revealing the real bottlenecks and repetitive, high-volume steps with evidence, it shows where automation or AI is likely to have the most impact, so you automate the right things, not just the obvious ones.
Yes, where the systems share a case reference or one can be matched. Many processes cross several systems and teams; we combine their data to show the end-to-end process rather than a single system’s slice.
The analysis focuses on the process, not individuals. Staff identifiers can be pseudonymized, and what is reported by person, if anything, is agreed with your HR and data-protection leads before analysis starts.
The pilot rebuilds one process from your own system data and shows whether the timestamps are complete enough to trust, along with the first bottlenecks found. It does not prove the size of any saving: findings show where work waits, and the effect of a change is measured after you make it.
Project code, configuration, dashboards and analysis transfer to you on full payment, and your operational data is yours throughout. Third-party foundation models remain the provider’s and are used under the provider’s terms, and open-source components stay under their own licences, as our IP and ownership policy sets out.
See working software before you commit
Before you commit to the full project, we build 2 to 3 of your key modules as working software, free of charge. Your team tests the pilot, and the full build starts only after you approve it.
See how the free pilot worksUnderstand
We learn your requirements and how your organisation works today.
Select pilot modules
Together we choose 2 to 3 key modules that prove the solution.
Build the working pilot
We build those modules as real, working software, free of charge.
You test it
Your team uses the pilot. The full project starts only after you approve it.
Start a conversation
Tell us how your business works.
Describe what is slowing your team down. We will help you work out what to build, and how a free pilot lets you judge our work before the full project.
Prefer WhatsApp? Start a chatWhat happens next
You send a short brief
The problem, the people involved and any target date. A senior engineer replies within 4 business hours.
We understand your workflow
A first call about how your business works today. An NDA can be signed before you share details.
You test a free pilot
You choose 2 to 3 key modules and we build them first, so you judge real software before the full project.