
Causal Decision Systems
Synaptios delivers decision-grade causal diagnosis, relational risk scoring, and deterministic action activation — so B2B SaaS teams stop guessing which accounts need intervention and start knowing why.
Most retention tools tell you what is happening — dashboards, health scores, usage charts. Synaptios tells you why it is happening, which dynamic levers matter, and how to route the right intervention to the right account at the right time.
Methodology
Every engagement follows a structured, three-phase path — from evidence-based causal diagnosis through relational risk modeling to deterministic action routing.
Ingest leadership, support, telemetry, and renewal materials. Validate the evidence ledger and problem frame. Produce executive diagnosis briefs, dynamic hypothesis briefs, and reference-mode charts.
Key artifacts
Register the warehouse graph and define account-level predictive tasks: renewal slippage, champion loss, onboarding stall, expansion propensity, and support escalation risk.
Key artifacts
Combine score outputs with account value, renewal timing, and champion stability. Route accounts into recovery, save, support, or expansion queues with deterministic policy.
Key artifacts

"The goal is not autonomous AI action. The goal is deterministic queue shaping so customer-success, services, support, and revenue leaders act on the same evidence."
— Synaptios operational thesis
Commercial offers
Each offer builds on the previous, creating a layered operating system for retention and expansion quality.
Structured causal diagnosis of your retention and expansion dynamics. Produces an evidence-based problem frame, validated conceptual model, and executive-ready briefs.
Account-level predictive task definitions, model governance artifacts, and relational risk scoring — grounded in the diagnosis, not generic churn signals.
Deterministic recommendation policies, queue routing, and dry-run activation payloads that connect diagnosis and risk scores to operating workflows.
Recurring quarterly refresh of all artifacts with governance discipline — diagnosis updates, score recalibration, policy tuning, and activation monitoring.
Demonstration
A synthetic, benchmark-grounded demonstration of the full diagnosis-to-activation workflow on a fictional mid-market B2B SaaS company.

Trust architecture
A premium consulting client pays for transparency, not black boxes. Every artifact is typed, versioned, and reproducible.
Every stage produces versioned, schema-validated artifacts — from evidence ledger entries to activation payloads.
Mandatory approval checkpoints at problem frame, conceptualization, and activation stages. No hidden agent loops.
Maximum 2 LLM calls in the SD compile path. Deterministic after IR. No retry loops inside the pipeline.
Every engagement produces a reproducibility appendix with artifact manifests, version hashes, and decision audit trails.
Model cards with intended use, limitations, explainability requirements, calibration notes, and drift monitoring specs.
All activation payloads are dry-run by default. No live CRM writeback without explicit human approval.
Just churn prediction
Causal diagnosis that explains why retention breaks — not just that it will.
A generic AI platform
A structured consulting engagement with deterministic, auditable artifacts.
Dashboard hygiene
An operating system that routes evidence-based interventions into real workflows.
Get started
Start with a Diagnosis Sprint. We will map your retention and expansion system, identify the highest-leverage intervention points, and deliver an executive-ready brief within weeks — not months.
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