Momentum Actuarial scales rigorous clinical vendor diligence 100x without compromising analytical depth.
A specialized actuarial firm turned its proprietary vendor evaluation framework into a structured AI workflow: weeks to days per report, with full rigor kept.
- From first agent build to production
- 30 days
- Each agent evaluated against actuaries' manual work before going live
- Report output
- 100x
- Without adding analysts
- Per evaluation
- Days
- Down from weeks, with human review checkpoints throughout
- One evaluation workflow
- 5 agents
- Vendor research, market analysis, clinical evidence, risk, and the report
Overview
As health plans sign more performance-based contracts with clinical vendors, the stakes for vendor diligence have never been higher. Actuarial-grade evaluation has historically been difficult to deliver economically at scale. Plans either paid significantly more for rigorous analysis or settled for shallower assessments that left material risks unresolved.
Momentum Actuarial was co-founded by actuary Clem Foltz to close that gap. The firm brings standardized actuarial rigor to clinical vendor evaluation, where inconsistent methodology and incomplete analysis have long created blind spots for health plan decision-makers. Their proprietary framework covers clinical evidence quality, financial projection integrity, attribution risk, operational dependencies, and failure modes that generic evaluations miss.
The challenge
Before Actava.ai, Momentum Actuarial ran its evaluation process through standard AI chat tools. Results were inconsistent, hard to reproduce, and too fragile for client delivery. Long research tasks exceeded context limits, required steps were missed, and fixing one problem often created another.
For a firm delivering the final report as the product, not a draft for internal revision, that was not a workable foundation. Momentum Actuarial needed a workflow where every required step was completed, deep research was handled reliably, and conclusions were traceable without significant manual review on every run.
The solution
Momentum Actuarial worked with Actava.ai to translate their proprietary vendor evaluation framework into a structured AI workflow. Specialized agents handle vendor research, market analysis, clinical evidence review, risk assessment, and PDF report generation. Each agent was evaluated against work produced manually by experienced actuaries before moving to production.
How the evaluation workflow works
Swipe to see the full diagram
Step 1: Research the vendor
A research agent gathers what is known about the vendor and its program. It runs in its own context, so a long research task no longer exceeds a limit and drops a step.
Step 2: Analyze the market
A market analysis agent places the vendor in its market and passes structured output to the next stage rather than a transcript.
Step 3: Review the clinical evidence
An evidence-review agent runs the independent literature review the framework calls for and assesses clinical evidence quality.
Step 4: Assess the risk
A risk agent works through financial projection integrity, attribution risk modeling, operational dependencies, breakpoint analysis, and the failure modes generic evaluations miss.
Step 5: Generate the report
A report agent assembles the stages into a single decision-ready PDF. Completion gates confirm every required step ran before the report is produced.
Each stage runs in its own context and passes structured output to the next, preserving an auditable trail and preventing context loss. Completion gates ensure required steps are never skipped. Visibility into tool use, token consumption, and context compression gives Momentum Actuarial a practical way to monitor and refine the workflow over time.

“I'm a user of AI, not a builder of AI. ACTAVA demystifies the complexity so I can focus on driving better results and work within the right set of tools. Having their experts guide implementation, review what I built, help me improve it, and validate it before production made a huge difference.”
The result
With Actava.ai, Momentum Actuarial reduced evaluation time from weeks to days while maintaining human review checkpoints throughout. In an early pilot, a health plan compared Momentum Actuarial's AI-assisted report against its own six-month evaluation of the same clinical vendor. The report captured the substance of that work in a single decision-ready document.
Rigorous vendor analysis is now economical across a broader set of evaluations. Health plans can commission multi-domain diligence covering independent literature review, attribution risk modeling, breakpoint analysis, and failure mode mapping at full scope, for any vendor evaluation they need. Each report gives plans a defensible evidence base for vendor selection, rejection, and performance-based contracting.
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