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BPAai business process automation

AI business process automation that keeps people in charge.

Founcy Solutions' AI business process automation takes the repetitive steps out of onboarding, document handling, approvals and reporting, and connects the systems those processes run through. Each automated step has a check, and anything uncertain or high-value goes to a person.

Map my first process → What's included
  • processes mapped before automating
  • confidence checks on AI steps
  • an audit log for every run
process.apiillustration
  • an invoice is read and its fields extracted with a confidence score
  • low-confidence documents go to a person
  • approvals are routed by your rules
  • the weekly report is drafted for a manager to review
confidence checksapproval gatesexample workflows
definition

What is AI business process automation?

AI business process automation uses software and AI models to carry out the repetitive steps of a business process: reading documents, moving data between systems, routing approvals and drafting reports. Traditional automation follows fixed rules on tidy data; AI adds the ability to read messy inputs such as emails, PDFs and forms. The skill is deciding which steps to automate, which to keep with people and how to check the AI's work before it reaches a customer or your books.

Best for
Onboarding, documents, approvals, reporting and data entry
Connects
CRM, accounts, ERP, spreadsheets and email
Checks
Confidence thresholds, approval rules and an audit log
Measured
Time per task, before and after, on your own work
sound familiar?

Signs a process is ready for automation.

Tap what applies. We'll start with the process that costs you the most hours.

Tap anything that sounds familiar.

what's included

AI process automation, from map to measurement.

Everything from the first process map to monitoring after launch. The scope depends on the processes and systems involved.

01

Process analysis

We map each step, time it and mark which steps suit automation, which need AI and which stay with people.

02

Intelligent document processing

Invoices, forms and emails read automatically with a confidence score, and unclear documents sent to a person.

03

Approval and task automation

Requests routed to the right approver by your rules, with reminders, deadlines and a record of decisions.

04

CRM and ERP automation

Data kept in step across your CRM, accounts and operations systems, so it's only entered once.

05

Third-party integrations

Connections to the tools you already pay for, through their APIs or an automation platform.

06

Monitoring and optimisation

Run logs, failure alerts and a review of time saved, then the next process once the first has proved itself.

built to be trusted

Automating a mess, or fixing the process?

Automation makes a good process faster and a bad one fail faster. So the map comes first.

control: hoped for
Starting pointAutomate the process exactly as it is todayMap it first and remove steps that shouldn't exist
AI stepsOutputs trusted without checksConfidence scores, with uncertain items sent to a person
ApprovalsBypassed to save timeApproval rules kept, just routed faster
FailuresErrors found weeks laterAlerts on failed runs and a log of every step
ResultsIt feels quickerTime per task measured before and after
OwnershipLocked inside one vendor's accountYour accounts, documented workflows and a handover
how it works

One process at a time.

Founcy's three steps: discover the opportunities, build and integrate, then optimise and scale.

  1. 01

    Free discovery call

    A 20-minute call to hear where the hours go and which systems hold the data.

    → candidate processes
  2. 02

    Map and measure

    We map the chosen process, time each step and agree what gets automated and where people approve.

    → automation blueprint with a baseline
  3. 03

    Build and integrate

    We build the workflow, connect your systems and test it on real documents and cases.

    → tested workflow
  4. 04

    Pilot and measure

    It runs alongside your team first, then on its own, and we compare the time per task with the baseline.

    → measured results
  5. 05

    Optimise and scale

    We refine the workflow, then move to the next process that's worth automating.

    → next process plan
stack

Tools chosen for the process.

We use the platforms that fit your systems and data, and we document every workflow we build.

// orchestration
n8nMakeZapierPower Automate
// ai & documents
OpenAIAnthropicGoogle Document AIAzure AI Document Intelligence
// systems
XeroQuickBooksHubSpotGoHighLevelGoogle Sheets
// data & logs
PostgresAirtableAudit logs
what drives the cost

What does process automation cost?

Build cost and running cost are separate. These four drivers shape the build; platform and AI usage are estimated on their own.

Processes

Each process needs mapping, building and testing on its own.

Systems connected

Every system adds access set-up, mapping and error handling.

Document handling

Reading messy documents needs AI steps, confidence checks and review queues.

Approvals and rules

More rules and approval levels mean more design and testing.

keep exploring

Related services.

AGT

AI agent development

Agents that read requests and act in your tools.

Explore → WFL

Custom workflow automation

Workflows built around the way your business runs.

Explore → INT

API integration services

Connect the systems your processes run through.

Explore → ERP

Custom ERP software

When a process needs its own system, not just automation.

Explore →
faq

Process automation questions.

Ones that repeat often, follow clear rules and take real hours: data entry from documents, onboarding checklists, approvals and routine reports. We time the steps while mapping, so the first choice is based on your own numbers.
Normal automation follows fixed rules on tidy data. AI can read messy inputs such as emails, PDFs and free-text forms, and draft summaries. We pair it with confidence checks, so uncertain results go to a person.
Any system can. We reduce the risk by keeping your approval rules, checking AI outputs against confidence thresholds, alerting on failed runs and logging every step, so mistakes are caught early and traced quickly.
Usually not. We connect the tools you already use through their APIs or an automation platform. If a process truly needs its own system, we'll say so and explain the options.
It depends on the number of processes, the systems connected, the documents involved and the approval rules. Use the cost builder above, then book a free 20-minute call for a quote within 24 hours. Running costs are estimated separately.
We measure the time per task before we automate, then again after launch, on your own work. You see the comparison, not a promise.
start with one process

Where do your team's hours go?

Tell us which process eats the most time. We'll come back with a plan for automating it, the checks it needs and how we'll measure the result.

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free 20-minute call · quote within 24 hours · people stay in charge