Compliance teams face more work without more staff
AI can help handle the workload, but passing decisions to a system within a regulated function may carry additional risks, or at least it appears to. We build AI that handles routine work while keeping judgment calls with the people accountable for them. Every decision is traceable, so your team can explain how and why it was made.
Your most experienced people are spending too much time on work that doesn't require their judgment.
Before we build anything, we map your workflow to separate what needs a human decision from what doesn't. AI handles those that don't need human oversight. Every decision it makes traces back to the policy that governs it, so when an examiner asks how something got approved, your team has a clear record of how the decision was made.
What we can build for risk and compliance teams
Most AI initiatives fail after the strategy deck is delivered. PivotX stays through execution, adoption, and measurable business outcomes because that's where transformation actually happens.
ESG and vendor compliance screening at scale
7,000+ vendors screened in under a day. What used to take 5 person-months now runs continuously, keeping due diligence records current.
AI agent evaluation and hallucination detection
50–70 pre-built metrics covering hallucination, KB retrieval, tool usage, escalation, and policy compliance, calibrated to your domain and risk tolerance before deployment.
Bulk audit and policy compliance
Audit cycles compressed from weeks to near-real-time with every decision traceable to the policy that governed it, documented for audit.
Expense policy compliance at scale
50,000+ expense records audited per month in real time, with Looker-based dashboards for direct audit committee review.
Regulatory reporting automation
Reports built from live data and reviewed by your team, reducing the manual work required for each reporting cycle.
Model explainability and governance
Every AI decision your team is accountable for comes with an explanation a regulator can read, even if this is the first AI system your function has ever put in front of one.
The compliance team signs off on the output. They shouldn't have to produce it.
We start every risk and compliance engagement by mapping the audit trail the system will need to produce before we write a line of code. Your compliance team defines what defensible looks like. That definition shapes the build, the evaluation criteria, and the week-ten deliverable. Ten weeks later, you have working MVPs in production with tracing, explainability, and human-in-the-loop review built in from the start.
Explore & Evaluate
We map the business and identify where AI could create measurable value. Working with your team, we evaluate potential use cases and narrow the list to the ones worth pursuing. By the end of week four, we know what we're building, why it matters and how we'll measure success.
Validate
Solution design and prototyping happen alongside user involvement. The people who will use the solution help shape it as it develops. Working MVPs give the team something real to test and evaluate rather than asking them to react to a finished product.
Value & Scale
We deliver the working AI solution, a validated 12-month roadmap, and a quarterly execution plan. We also begin the process of putting the solution into use. At this point, your team has experience with the solution and a clear understanding of what comes next.
We help you define the problem precisely enough that the AI solution can be defended to your controller, auditors, and board. And we don't leave until you have AI in production, acting alongside your team.
Compliance AI built to stand up to audit.
Related industries and other functions
Is your compliance workload growing faster than your team can manage it?
Tell us where the backlog is building and what your audit trail needs to look like. We'll show you where AI can reduce the workload without giving up the oversight your team needs.