Invoice to ledger
From inbox to accounting system with validation.
- 01Invoice emailed
- 02Fields extracted
- 03PO matched
- 04Exceptions reviewed
- 05Posted to ledger
Solution · Repetitive work, automated
Repetitive work, handled automatically — and visibly.
AI automation combines reliable workflow logic with AI that can read documents, understand messages, and classify information. The result: routine work moves on its own, and people review only what needs them.
What it is
Automation that copes with messy inputs
Traditional automation is excellent when inputs are perfectly structured. Most business inputs are not: emails, PDFs, scanned forms, free-text requests. AI fills that gap by turning unstructured inputs into structured data the workflow can use.
We keep the workflow itself deterministic and observable. AI handles interpretation; rules handle validation; people handle exceptions.
Capabilities
What it can do
Read documents
Extract data from invoices, forms, contracts, and emails.
Classify and route
Send items to the right queue, person, or next step.
Sync systems
Keep records consistent across tools without retyping.
Generate reports
Produce recurring summaries from live data.
Chase inputs
Follow up automatically on missing information.
Flag exceptions
Surface anything unusual for a person to review.
In practice
Common patterns
Form to CRM
Every submission enriched and assigned.
- 01Form submitted
- 02Enrich data
- 03Score and classify
- 04Assign owner
- 05Notify team
Data to report
Weekly reporting without spreadsheets.
- 01Schedule fires
- 02Pull figures
- 03Compare to last period
- 04Draft summary
- 05Send to stakeholders
Human in the loop
Control when it matters.
Autonomy is earned task by task. These controls are part of every deployment.
- Validation rules on every AI-extracted value
- Confidence thresholds route uncertain items to people
- Run history with inputs and outputs
- Alerts on failure, with safe retries
- Documented rollback
Honest fit
Where it works — and where it doesn't yet
Good fit
- Work repeated many times per week
- Data typed into more than one system
- Documents and emails that follow loose patterns
- Reports built manually on a schedule
Not the right starting point
- One-off or rare tasks
- Processes still being designed
- Inputs that require expert judgment every time
How we deliver it
Services behind this solution
Service
AI Automation Engineering
We engineer automations that combine dependable workflow logic with AI where it adds value — reading documents, classifying requests, extracting data — so repetitive work moves without manual effort.
Service
AI Integration
We integrate AI capabilities into your CRM, ERP, help desk, databases, and internal applications — through secure APIs, webhooks, and middleware — so intelligence is available where decisions are made.
Service
Agentic AI Development
We design and build agents that observe, plan, act, and verify within explicit boundaries — connected to your tools, logged end to end, and supervised until they have earned more autonomy.
FAQ
Frequently asked questions
01How is AI automation different from tools like Zapier?
Simple connector tools move structured data between apps. AI automation adds the ability to interpret unstructured inputs and make classification decisions, with validation and review built in. We can also build on top of tools you already use.
02What if the automation makes a mistake?
Validation rules catch many errors, low-confidence items go to a person, and every run is logged so problems can be traced and corrected.
03Where should we start?
With a high-volume, well-understood process that currently involves manual data entry or document handling. The first automation should be measurable and low-risk.
Related reading
Go deeper on this topic
Related solutions
Explore further
End-to-end processes
Business Process Automation
Business process automation connects the steps of a workflow — intake, validation, approval, update, notification — across teams and systems, so work moves forward without someone pushing it along.
Agents that complete tasks
AI Agents
AI agents observe, reason within defined boundaries, use tools, take actions, verify the result, and escalate when needed. We build them for workflows where that loop saves real time.
Role-based digital workers
AI Employees
An AI employee is a supervised digital worker designed around a specific business function. It understands context, uses approved tools, completes tasks, and escalates decisions that need human judgment.
Next step
Bring us the process your team is tired of doing manually.
A strategy call is a working conversation about one workflow: what it involves today, what could be automated, and what a first build would look like.
What happens next
- 1Tell us about one workflow
- 2We review it before replying
- 3A working session, then a first-build proposal