RPA Modernisation
Modernise Brittle RPA Workflows With AI and API Automation
Determine which automations should remain RPA, which should move to API workflows, and which should be redesigned around AI-assisted processing.
Sometimes the right answer is to keep the bot. We will say so — a recommendation you cannot disagree with is not worth paying for.
- Fixed scope
- Measurable ROI
- Human-in-the-loop
- Works with your existing stack
Trusted on complex technology delivery
Does any of this look familiar?
These are the symptoms we see before the numbers get measured.
- Bots break whenever a vendor changes a screen
- More effort goes into maintaining automations than they save
- Licence renewal is approaching and the value is hard to defend
- Nobody remembers how some unattended automations work
- The person who built the estate has left
- Bots run at night and failures are discovered the next morning
What this process costs you today
Before anyone talks about technology, it is worth knowing the number you are trying to beat.
A worked example
Modelled estimate2 employees × 12 hours/week of repetitive processing = 1,248 hours/year.
At $55/hour loaded cost
$68,640
annual process cost
If automation removes
60%
of the manual effort
Recoverable capacity
$41,184
per year
Two people maintaining and manually covering for an unreliable bot estate.
Now run it on your own volumes
Your current process
Assumptions
- Fully loaded hourly cost of the staff maintaining and covering for the estate
- Rework estimated at 1.5x the original handling time per failed run
- Higher default error rate reflects the screen-scraping fragility RPA estates typically carry
- Payback modelled against a typical single-process implementation investment
Your estimated opportunity
Modelled estimate- Current estimated annual cost
- $194,700≈ 2.1 FTE of manual effort
- Potential automatable effort
- 55–75%
- Indicative payback
- 2 months
- Potential annual opportunity
- $107,085 – $146,025
Directional planning estimate based on your inputs — not a quote or a substitute for finance sign-off.
How we work
- 1
Map
Sit with the people doing the work and document the process as it actually runs — including the workarounds nobody wrote down.
- 2
Measure
Establish a baseline: volume, handling time, error and rework rate, and what the process costs you today.
- 3
Build
Redesign the workflow and build it against your real systems and data — not a mockup or a slide.
- 4
Validate
Test against edge cases, confirm exception handling and approval gates, and measure the result against the baseline.
- 5
Deploy
Move into production with monitoring, runbooks and training — or recommend against it if the numbers do not hold up.
Before and after
Three honest recommendations, not one
Today
- Every workflow runs through UI automation
- A screen change breaks production
- Maintenance cost grows with the estate
Automated
- Keep RPA where no API exists and the UI is stable
- Replace with API workflows where an interface exists — far more reliable
- Rebuild with AI where the blocker was always unstructured input, not clicking
What we automate
- UiPath and Automation Anywhere estate review
- Bot-to-API migration
- Unattended automation consolidation
- Screen-scraping replacement
- Legacy system integration without a UI
- Maintenance cost reduction
What you receive
- Inventory of the existing estate and what depends on each automation
- Failure and maintenance cost baseline per bot
- A keep / replace / rebuild recommendation for each, with reasoning
- Migration design for the ones worth moving
- Rebuilt workflow for the highest-value candidate
- Monitoring and alerting so failures surface immediately
What the numbers say
Every figure is labelled by where it comes from — measured customer results, industry benchmarks, modelled estimates, or commitments we make to you.
3
Possible recommendations, including keeping RPA
55–75%
Of maintenance effort typically recoverable
API-first
Where an interface exists, it beats screen automation
Fixed
Scope agreed before we start
Technology we build on
We are not tied to one platform. The right tool depends on the workflow, your existing stack, and what you can maintain.
How we keep it safe
Human approval gates
You decide which decisions an automation may make alone and which require a person. Thresholds are configured to your policy.
Exception handling
Anything ambiguous, incomplete or out of policy routes to a named owner with the reason attached — it does not fail silently.
Audit trail
Every action is logged: what ran, on what input, what it decided, and who approved it. Built for audit and incident review.
Least-privilege access
Automations connect through credentialed, scoped integrations you grant and can revoke. Your systems stay the system of record.
How engagements run
Each stage is a decision point. You only continue if the previous stage justified it.
Process Assessment
Map one process, quantify what it costs today, and get a fixed implementation recommendation.
Fixed fee, credited against a SprintStage 2Automation Sprint
Redesign and build the workflow, then prove whether the economics justify scaling it.
Fixed scope, fixed feeStage 3Production Implementation
Harden a validated workflow for real users, real data, security, monitoring and scale.
Scoped from the Sprint findingsStage 4Managed Automation
Keep automations reliable as systems, rules and volumes change.
Monthly retainerRPA Modernisation FAQs
Review your RPA workflow
We map the estate, cost the maintenance, and give a keep / replace / rebuild recommendation per automation.