The future of AI-assisted TPA operations.

Where AI can genuinely help a TPA

The useful work for AI in TPA operations is the reading and sorting that people do around the calculations: explaining why a payroll file failed validation, spotting a census row that looks unlike the rest, summarizing a long exception history, extracting fields from a sponsor’s document, and drafting a plain-English note for a client. All of it saves time without deciding anything.

Where AI must not decide

402(g), 415(c), ADP/ACP, eligibility and vesting are rules with fixed inputs. They should run as deterministic, tested code that gives the same answer every time. AI should never post to a ledger, approve a distribution, sign off a test or make a legal or compliance determination. A named person approves, and the approval is recorded.

The controls to insist on

• Read-only access for AI components; no path to change balances or test results.
• Every AI suggestion labeled as AI and inert until a named user accepts it.
• Prompts and outputs written to the audit log; a firm-level switch to turn AI off.
• Participant data kept inside the firm’s environment; no training on customer data.
• Risk assessment against a framework such as the NIST AI Risk Management Framework.

Where KinetiPlan stands

AI features in KinetiPlan are planned, not live. The pilot build’s assistant opens a preview panel only and calls no AI service. The design rules above are published on the AI guardrails section, and they apply before any AI feature ships.