Accounts Payable Automation
Automates invoice capture, three-way matching, and exception resolution across vendors and formats.
- Faster invoice cycle times
- Lower cost per invoice
- Fewer manual exceptions
AI Workflow & Back-Office Automation
We combine RPA, intelligent document processing, and AI reasoning to automate accounts payable, procurement, payroll, and compliance workflows end to end — including the judgment calls and exceptions that break rule-based automation.
AI workflow and back-office automation combines robotic process automation (RPA), intelligent document processing (IDP), and AI reasoning to run internal operational processes end to end — accounts payable, procurement, payroll, compliance reporting, data entry, and reconciliation. Traditional automation executes fixed rules reliably on the structured path: if this happens, do that. It breaks the moment a process hits an exception, an ambiguous document, or a judgment call. AI-driven back-office automation is built to reason through exactly those moments, so the automation keeps running instead of stopping at every edge case and routing it back to a person.
Most automation projects work in a demo and break in production — here is where they fail.
Rule-based bots handle the happy path but stop, error, or misroute the moment a process encounters an exception or ambiguous input.
A large share of automation and generative AI proof-of-concepts are abandoned before they scale, wasting budget and stalling momentum.
Invoices, contracts, and forms still require manual re-keying and validation, slowing cycle times and introducing errors.
Many back-office systems predate modern APIs, forcing teams to choose between costly integration work and continued manual handling.
As automations take on more judgment, few organizations have a mature governance model for the decisions those automations make.
Manual processing costs — per invoice, per claim, per record — stay stubbornly high without end-to-end automation of both the structured and exception paths.
We design for the exception path from day one, not as an afterthought.
We extract, validate, and reconcile data from invoices, contracts, and forms so structured data flows without manual re-keying.
Where rule-based bots stop and escalate, our agents reason through ambiguous cases within scoped guardrails and only escalate what genuinely requires human judgment.
We connect to legacy, on-premise, and non-API systems using RPA where modern integration isn't possible.
Every automated decision is logged and reviewable, so the automation portfolio scales without losing compliance visibility.
Automates rule-based, repetitive tasks across desktop, web, and legacy applications.
Extracts and validates data from invoices, contracts, forms, and unstructured documents.
Applies AI judgment to ambiguous cases instead of stopping automation and routing every exception to a human.
Coordinates multi-step, multi-system processes across departments from a single control layer.
Automates systems that predate modern APIs without requiring a system replacement.
Logs every automated decision and action for compliance review and process audits.
Surfaces where processes deviate from the expected path to guide ongoing optimization.
Routes only genuine judgment calls to a person, with full context attached.
High-volume, document-heavy processes with real exception rates are where AI reasoning pays off fastest.
Automates invoice capture, three-way matching, and exception resolution across vendors and formats.
Automates purchase order creation, approval routing, and vendor master data cleanup.
Automates payroll data validation, benefits administration, and onboarding/offboarding workflows.
Automates data aggregation, validation, and report generation for recurring regulatory filings.
Automates multi-system reconciliation and eliminates duplicate manual data entry across finance and operations systems.
Finance-heavy and compliance-heavy sectors see the clearest returns first.
A rollout built around the exception rate, not just the happy path.
Document the current process end to end, including every exception, workaround, and manual judgment call your team makes today.
Design the rule-based automation for the structured path and the AI reasoning layer for exceptions, with clear guardrails on what each is authorized to decide.
Connect to source systems — ERP, document repositories, legacy applications — including non-API systems via RPA where needed.
Run the automation against real historical transactions and a live pilot volume, measuring straight-through processing rate and exception accuracy.
Expand from lower-risk transaction types to higher-value or higher-risk processes as accuracy is proven.
Track exception patterns and process drift, tuning the automation and reasoning layer as source systems and policies change.
We work with the ERP, RPA, and cloud environments already running your back office.
ERP
ERP
RPA
Automation
Cloud
Cloud
Cloud
Targets grounded in current industry benchmarks for AI-enabled back-office automation.
~60% Touchless Processing
AI-enabled accounts payable programs are reported to reach this range, reducing manual intervention on routine transactions.
Up to 59% Faster Cycle Times
Automation is reported to deliver this range of improvement, with some invoice cycles compressing from an average of 14 days to under 48 hours.
$2.78 Best-in-Class Cost Per Invoice
Versus a $12.88 average for largely manual invoice processing.
Up to 3.5x Productivity
AI-enabled automation programs are reported to deliver this range of productivity gain on the processes they cover.
Improved Governance & Audit Readiness
A full audit trail of automated decisions closes the governance gap that leaves most organizations without a mature model for autonomous process steps.
We design for the exception rate first, so the automation you launch is the automation still running a year later.
We design the reasoning layer for exceptions alongside the rule-based automation, not as a fallback that just escalates everything.
We validate against real historical volume and exception rates so the automation is built to survive contact with production.
We integrate RPA where APIs don't exist, instead of requiring a system replacement before automation can start.
Every automated decision is logged and reviewable, closing the governance gap most automation portfolios carry today.
We build from your actual transaction history and exception patterns, not a generic process template.
Choose the engagement model that matches your process scope and timeline.
A scoped pilot on one high-volume, exception-prone process to validate straight-through processing gains before wider rollout.
End-to-end design, integration, and phased rollout across your priority back-office processes.
Ongoing monitoring, exception tuning, and process expansion after go-live.
It combines robotic process automation, intelligent document processing, and AI reasoning to run internal operational processes end to end, including the exceptions and judgment calls that break rule-based automation alone.
Traditional RPA executes fixed rules reliably on the structured path but stops or errors on exceptions. AI-driven automation adds a reasoning layer that handles ambiguous cases instead of escalating every one.
Most pilots are built and tested only on the happy path; a large share of proof-of-concepts are abandoned once real-world exception rates surface in production.
Yes, intelligent document processing extracts and validates data from invoices, contracts, and forms without manual re-keying.
Yes, RPA handles legacy and desktop applications where modern API integration isn't available.
No, the automation integrates with your existing ERP and back-office systems rather than requiring a replacement.
Exceptions are reasoned through within scoped guardrails; only genuine judgment calls that exceed the agent's authority are escalated to a person with full context.
Timelines vary by process complexity, but most engagements move through discovery, design, integration, pilot, and phased rollout over several weeks.
A pilot scopes one high-volume, exception-prone process and validates straight-through processing rate against real historical and live transactions before expanding.
Not necessarily — engagement models range from a fully managed pilot to ongoing managed operations, depending on your internal capacity.
Every automated decision is scoped, logged, and reviewable, supporting audit readiness across financial and compliance workflows.
It escalates to a person with full context on the transaction and the reasoning applied so far, avoiding duplicate work.
A consistent audit trail and escalation model is applied across every process, addressing the governance gap most automation portfolios currently have.
Capabilities that pair naturally with back-office automation.
Further reading on getting back-office automation to production and keeping it there.
Let's map your highest-volume process, including its exceptions, to an automation built to stay live.
