Why predictive workforce analytics is the adjacent value play every HCM and WFM partner needs
By Jonathan Hawkins
If you’re an HCM or WFM partner — implementation firm, reseller, managed service provider — your commercial model is under pressure. Platform commoditisation is compressing margins. Clients expect more value from existing relationships. And the competitive pitch is increasingly about what you can do beyond the core platform, not within it.
The adjacent value play most partners are missing is predictive workforce analytics. And the irony is that the data required to deliver it is already sitting inside the platforms you’ve spent years implementing.
The Client Conversation You’re Already Having
Your clients are talking about attrition. It comes up in QBRs. It comes up when they’re explaining why their WFM forecasts keep missing. It comes up when they’re justifying budget for yet another recruitment cycle.
They’re not asking you to solve it because they don’t think of you as the answer. But you’re closer to the answer than any engagement survey vendor. Because you have the data. You have the client relationship. You have the operational context.
Why This Works as a Partner Play
Anthrolytics is designed to sit on top of existing HCM and WFM platforms. We ingest the operational data your clients already generate — scheduling, attendance, productivity, workforce management metadata — and produce predictive insights that neither you nor they could generate from the platform alone.
For you, this means deeper client stickiness, a new revenue line, and a genuine differentiator in a crowded market. For your clients, it means their existing technology investment finally produces a predictive, commercially measurable outcome they can take to their board.
The Commercial Model
We make it simple. Referral, resell, or co-sell — whatever fits your existing commercial structure. No cannibalisation of your core platform revenue. No disruption to existing deployments. No complex integration project.
Your clients want predictive analytics. Your competitors are starting to pitch it. The data is already in the platforms you manage. The only question is whether you add the predictive layer first — or wait for someone else to.