AI Automation Services for Back-Office Operations
What are AI automation services?
AI automation services combine machine learning, generative AI, workflow, and integration engineering to remove human effort from repetitive operational work. The service reads unstructured input (a member's loan document, a subcontractor's invoice, a fax from a referring provider), decides what to do using your policies and historical decisions, and calls the system of record by API to complete the transaction. Human review is reserved for exceptions and for decisions the model flags below its confidence threshold.
Intelligent process automation services differ from classic RPA in the same way a policy expert differs from a copy typist. RPA scripts a person's clicks against a screen. AI automation reads the input, applies judgment against your rules, and writes to the system by API. It handles unstructured inputs, adapts to rule changes without a re-record, and does not break every time a vendor updates the UI.
Which work should you automate?
Most automation projects fail because they aim at the wrong task. Automating an interesting task that runs six times a year is a demo. Automating a boring task that runs 6,000 times a year is a business result. We use three signals to pick targets:
- Repetition on a schedule. A task the team does on a daily, weekly, or monthly cadence, with volume you can measure. If it happens once a quarter, automation almost never pays back the build.
- Two people would do it identically. If handing the same input to two members of the team produces the same output, the rules are stable enough to encode. When the answer depends on judgment that changes person to person, automation either fights the team or degrades quality.
- Any single instance takes a person less than five minutes. Short, high-volume tasks are where AI plus workflow crushes cost. Long, one-off tasks are usually better served by better software or better training.
When a task passes all three, automation typically pays back inside a year and often inside a quarter. Bring three candidate workflows to the first conversation and we score them against these signals in front of you.
What our AI automation services cover
Document intake and extraction. Loan applications, prior authorization forms, invoices, RFPs, submittals, transcripts. Documents arrive by email, portal, or fax, get parsed into structured fields with a confidence score, and land in the system of record without a person retyping them. Anything below threshold routes to a human queue with the extracted data pre-filled.
Queue triage and routing. Incoming items scored, prioritized, and routed to the right person or team based on your rules. The team stops picking work off the top of the pile and starts working the highest-value item first.
Decision support and drafting. For each item in the queue, a summary of the case, the relevant policy citations, the flags that need attention, and a draft response the specialist edits and sends. Median handle time drops between 30 and 70 percent in our engagements.
Reconciliation and exception handling. Cross-system checks that used to require someone to compare two screens. Discrepancies flagged, root cause suggested, resolution proposed.
Reporting and monitoring. Every automated flow ships with a dashboard: throughput, accuracy, exception rate, time saved, dollar impact. If a model drifts or an integration breaks, the team knows before the business does.
Industries and workflows we automate
- Credit unions: loan application intake, member service triage, fraud queue prioritization, dispute processing, HMDA reporting. Details on AI for credit unions.
- Healthcare: prior authorization, referral management, clinical documentation summarization, patient no-show risk, denials management. Details on healthcare AI consulting.
- AEC: submittal review, RFI triage, invoice and lien waiver processing, safety report intake, bid analysis. Details on AEC AI consulting.
- Higher education: admissions document review, financial aid verification, transcript evaluation, advising triage, student communication drafting. Details on higher education AI consulting.
How our AI automation engagement works
Sprint zero, one week. We sit with the team doing the work, watch three days of real queues, and quantify current cost, cycle time, and error rate. Deliverable: a target metric and a fixed price for the build.
Build, six to twelve weeks. Extraction, workflow, integration, dashboards. Deployed against a shadow queue first so the team can compare AI output to their own, then cut over when accuracy holds.
Measure, first ninety days. We report weekly against the baseline captured in sprint zero. If the numbers do not move, we own the fix.
Operate, ongoing. Monitoring, retraining when accuracy drifts, adding new document types or new decision rules as the business changes. Priced monthly, cancellable with 30 days notice.
Why not just buy an RPA product?
RPA works well when the target system has stable screens, the input is already structured, and the rules never change. That describes very little of the work we automate. Most real back-office queues involve unstructured inputs (a PDF a member emailed, an invoice a subcontractor uploaded, a fax from a referring provider), rules that need to read policy documents, and target systems with real APIs. Intelligent process automation services running against APIs are faster to build, cheaper to run, and do not break every time a vendor ships a new screen. When an existing RPA platform is doing useful work, we integrate with it. When it is a maintenance drag, we usually replace it.
What we automate
Document intake and extraction
Turn PDFs, forms, and faxes into structured records that flow straight into your systems
Queue triage and routing
Score, prioritize, and route work so the team touches the highest-value item first
Decision support and drafting
Give each specialist a case summary, policy citations, and a draft response for every item
Reconciliation and exception handling
Automate the cross-system checks that used to require two screens and a spreadsheet
Compliance-ready reporting
Dashboards for throughput, accuracy, exception rate, and dollar impact, with an audit trail your examiner will accept
Integration with your systems
Symitar, Corelation, Epic, Cerner, Procore, Deltek, Banner, Workday, Salesforce, and the middleware in between
Frequently asked questions about AI automation services
AI maturity assessment
Get a scored AI readiness report for your organization.
Free, takes about 15 minutes. See where you stand across strategy, data, talent, deployment, and innovation. Your email saves the results.
Bring us the queue that eats your team's day.
A 30-minute call is enough to score three of your candidate workflows against the repetition, uniformity, and duration signals. You will leave the call with a ranked list and a rough cost estimate, whether we work together or not.
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