Skip to content
AgentIQ AgentIQ

Agentic Customer Success intelligence you can explain and control.

Send us the measures that matter each week. AgentIQ validates them, calculates health and routes each account through governed, deterministic logic your team configures — and an agent explains what came out. Every recommendation arrives with its evidence and its decision trail.

See AgentIQ investigate an account Watch the 4-minute walkthroughExplore a design partnership

Preparing for controlled demonstrations and selected B2B SaaS design-partner pilots.

Four layers. One promise: confidence in what comes next.

AgentIQ builds intelligence the way trust is built, one strong layer at a time.

  1. Fragmented customer data becomes trusted evidence.

  2. Trusted evidence becomes consistent insight.

  3. Insight becomes understanding.

  4. Understanding becomes confident action.

Each layer supports the next, creating something more powerful without ever losing sight of the truth beneath it.

See AgentIQ in action

Three questions, and where the answers come from.

See how weekly customer data becomes a governed decision, an evidence-grounded explanation and a clear next action.

Follow one account from validated inputs to deterministic routing, agent explanation and human-controlled action.
From weekly data to a decision

A week of measures in. One brief you can act on.

You send the measures each week — by export or direct entry, no integration required. The engine validates them and calculates health, attention and routing. The agent reads that result and states what it found, with the evidence behind it and how confident it is.

  • Product usage
  • Support
  • Commercial
  • Engagement
  • Account notes

Evidence brief

Medium confidence
Account
Demo Client A
Investigation summary
Adoption of the reporting workflow has fallen sharply in one team while the rest of the account is stable. Renewal is 62 days out and the original sponsor has disengaged.
Key evidence
  • Weekly active users down 34% across the last six weeks
  • Three unresolved P2 tickets on the reporting module, oldest open 19 days
  • Executive sponsor absent from the last two QBRs
Risk assessment
Renewal at risk — the workflow that justified the original purchase has degraded.
Contributing factors
  • Support friction blocking a core workflow
  • Possible internal ownership change
  • No expansion discussion logged before renewal

Illustrative brief. The account and its evidence are fictional; the shape — evidence, assessment, contributing factors, stated confidence — is what the platform produces. See the full investigation record →

One operating path. Clear handoffs. Full control.

The same five stages run behind every account, in the same order, every time. Where AI contributes and where configured logic decides is fixed by the architecture — not by a prompt.

  1. Weekly data in

    The measures you already track, sent as an export or entered directly.

  2. Data quality gate

    Nothing is calculated from data that has not passed validation. Incomplete weeks are held, not guessed at.

  3. Governed calculation and routing

    Health scoring, attention and playbook routing — deterministic, versioned, and reached without an agent involved.

  4. AI explanation and recommendation

    The agent reads the governed result, gathers the evidence behind it and states what it means and what to do next.

  5. Human-controlled action

    Nothing reaches a customer without a person approving it.

Built as a domain model, not a wrapper

The moat is the Customer Success model underneath: a terms catalogue, KPI formulas, health components, thresholds, playbook rules and an outcome loop. The deterministic core ships first and is explainable end to end. Agents add language and richer recommendations on top of it.

Deterministic core

KPIs, health scoring and playbook routing are calculated, not generated. The same inputs produce the same decision — reproducible and audit-friendly.

Evidence you can check

Every conclusion carries the source records behind it, with system and date, plus the evidence that argues against it.

Governed by agreement

Where your data is hosted is agreed with you, and no model is trained on it. Where the AI layer is used, that inference step is disclosed and region-configurable.

AI investigates. Governed logic decides. Your team stays in control.

Bring us a real Customer Success decision.

A renewal call, an adoption intervention, an escalation you are unsure about. We will show you how AgentIQ investigates it, what evidence it surfaces, and what it recommends.

Explore a design partnershipSee how decisions are recorded