Help validate agentic Customer Success on real B2B SaaS accounts.
We are working with a small number of recurring-revenue SaaS companies to test AgentIQ against Customer Success decisions that actually matter to them — with their evidence, their thresholds and their team in the loop.
Selecting design partners for paid pilots. Engagements are scoped around one Customer Success decision, not a full platform rollout.
How a design partnership runs
Four stages, scoped so you can judge the value before committing to anything operational.
Define the CS decision
We pick one real, recurring decision your team already makes — and agree what a good outcome looks like.
Agree the evidence
We agree exactly which measures that decision depends on — usage, support, commercial, whatever it turns out to be — and where each one comes from. They arrive as a weekly export or direct entry. Scoped, documented, nothing speculative.
Evaluate AgentIQ
Your team reviews investigations, evidence and recommendations against their own judgement of the same accounts.
Measure and refine
We tune thresholds, health components and playbook routing to your operating model, and record what changed.
A partnership runs over weeks, not days. The engine works on a weekly cycle, and health, trend and routing only become meaningful once several valid weeks have accumulated. We would rather tell you that now than sell you a verdict after week two.
Who this is for, and what we are testing
A strong fit
- Recurring-revenue B2B SaaS, roughly 20–200 employees
- An established Customer Success function — not a single part-time owner
- 50–1 000 client accounts under active management
- Customer data your team can export on a weekly basis — usage, support, commercial — and share under agreement
- A measurable adoption, escalation or renewal workflow to test against
What we validate together
- Whether investigations surface something the team did not already know
- Whether the evidence behind each conclusion is accurate and traceable
- Whether decisions stay consistent across accounts and over time
- Whether recommendations are relevant enough to act on
- Whether the whole thing fits how the team actually works
Design partnerships are paid pilots. We are pre-revenue and selecting partners deliberately: a small number of engagements we can support properly is worth more to both sides than a long waiting list.
What you get, and what we ask for
What you get
- Configuration authored with you — your KPI definitions, your health components, your thresholds — and direct influence over the playbook rules as the product evolves
- A documented evidence and decision trail for every account we touch
- Implementation support from the people building the product
- A written commitment that we never train models on your data, and never pool it into another tenant's results
- Preferential commercial terms carried into general availability
What we ask for
- A record of what you did with each recommendation — applied, partly applied, or not at all, and what happened next. That record is what the next recommendation is built on
- A weekly rhythm — the platform works on a weekly cycle, so the agreed data needs to arrive every week, not in one batch at the end
- One named owner inside your CS team who can make decisions
- Access to the agreed data sources under a data processing agreement
- Honest feedback on what is wrong, not only on what is missing
- Permission to learn from the engagement — what worked, what did not, and why
Validate the intelligence. Influence the product.
A partnership starts with one Customer Success decision you already make. These two pages show exactly what you would be judging: how the decision is made, and the record it leaves behind.