Case Study
Professional Services
AI That Turns Administrative Overhead Into Billable Capacity
Billing, compliance, and matter administration drain utilization without generating a single billable hour. OnTrac AI automates those workflows end-to-end, so your teams spend more time on what clients pay for.
Talk to us about Professional ServicesWhere AI Changes the Economics of Professional Services
Billing Automation
Validating against billing guidelines, transforming to client-mandated formats, submitting through portals, and managing appeals—this full cycle is manual at most firms. AI runs it end-to-end, accelerating collections and cutting the burden that scales with volume.
Project Intake
New project intake, billing structure setup, and team routing across practice management systems consume hours that produce no client value. AI handles intake and keeps records synchronized, so your team moves work forward instead of managing paperwork.
Compliance & Regulatory
Recurring filing obligations follow the same pattern as billing—extraction, format transformation, portal submission—but with higher compliance stakes. AI manages the cycle and eliminates manual execution risk on fixed deadlines.
Portal-Heavy Workflows
Professional services firms interact with dozens of portals, each with different authentication, navigation, and submission requirements. AI handles multi-portal submission at scale, eliminating the manual effort across all of them.
Why Professional Services Firms Choose OnTrac AI
Experience built in high-stakes environments.
We’ve built AI and automation solutions inside professional services operations where billing errors have client consequences and compliance misses have regulatory ones. The rigor those environments require is built into how we work.
We know which tools the work actually needs.
Professional services workflows call for intelligent document processing, robotic process automation, and the judgment to know where each belongs. OnTrac AI spans the full toolkit—and deploys the right capability at every step.
Full-cycle coverage, not partial fixes.
From data extraction and validation through portal submission and exception handling, we automate the entire workflow. A solution that handles one step and leaves the rest manual doesn’t solve the problem.
Ignite™ for high-stakes environments.
Ignite™ identifies and sequences opportunities in a structured way that builds confidence before full implementation—the right approach when errors carry client and reputational consequences.
Not Sure Where to Start?
Learn about Ignite about Not Sure Where to Start?Ignite™ is OnTrac AI's roadmap program. In as little as 30 days, we identify your highest-ROI opportunities, run it through our proprietary Realized Value Matrix™, validate with real projections, and hand you a roadmap ready for implementation.
Ready to See What AI Can Do for Your Operations?
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Contact Us about Ready to See What AI Can Do for Your Operations?
What professional services workflows deliver the fastest ROI from AI?
Project intake, status updates, and project dashboards are some of the most common implementations.
Our billing workflows are too complex and too client-specific to automate. Is that true?
It’s the most common objection we hear—and the one we’ve disproven directly. We’ve delivered e-billing automation for a firm with 700 consultants across 25+ offices, handling multiple billing formats, client-mandated guidelines, and multi-portal submission. Complexity is where our approach is where the use of AI, machine learning, and agentic process automation are best suited.
How does your automation handle billing guideline enforcement across different clients?
Billing guideline validation is built into the automation logic, not bolted on. We map each client’s requirements into the validation layer during implementation, so the system enforces rules at the invoice level before submission—not after a rejection comes back from the portal.
How do you handle the risk of errors in billing and compliance workflows?
Every automation we build includes validation logic, exception routing, and human-in-the-loop escalation for edge cases. Our PoC-first model lets you validate performance in your specific environment before committing to full deployment—so you’re not taking the automation on faith.
What does your PoC process look like for a billing or compliance engagement?
We start by identifying one high-value workflow, scoping a proof of concept that runs in your actual environment against your actual data, and validating performance before any commitment to full deployment. If the PoC works—and we design them to—you move forward with evidence, not assurance.