Abstract topographic contour map representing Synaptios causal diagnosis methodology

Causal Decision Systems

Diagnose why retention breaks. Act before it costs you.

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.

01

Methodology

Diagnosis first. Prediction second. Action always.

Every engagement follows a structured, three-phase path — from evidence-based causal diagnosis through relational risk modeling to deterministic action routing.

Phase 1

Diagnosis Sprint

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

  • Executive diagnosis brief
  • Dynamic hypothesis brief
  • Influence network
  • Reference-mode charts
Phase 2

Relational Risk Build

Register the warehouse graph and define account-level predictive tasks: renewal slippage, champion loss, onboarding stall, expansion propensity, and support escalation risk.

Key artifacts

  • Predictive task specs
  • Model card & governance
  • Relational risk brief
  • Monitoring artifacts
Phase 3

Decisioning & Activation

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

  • Action activation brief
  • Queue routing logic
  • Dry-run payloads
  • CRM/alert adapter outputs
Topographic contour pattern illustrating structured diagnostic methodology
"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

02

Commercial offers

Four engagement surfaces

Each offer builds on the previous, creating a layered operating system for retention and expansion quality.

Foundation

Diagnosis Sprint

Structured causal diagnosis of your retention and expansion dynamics. Produces an evidence-based problem frame, validated conceptual model, and executive-ready briefs.

Prediction

Relational Risk Build

Account-level predictive task definitions, model governance artifacts, and relational risk scoring — grounded in the diagnosis, not generic churn signals.

Action

Activation Build

Deterministic recommendation policies, queue routing, and dry-run activation payloads that connect diagnosis and risk scores to operating workflows.

Ongoing

Managed Decision System

Recurring quarterly refresh of all artifacts with governance discipline — diagnosis updates, score recalibration, policy tuning, and activation monitoring.

03

Demonstration

HelixFlow case study

A synthetic, benchmark-grounded demonstration of the full diagnosis-to-activation workflow on a fictional mid-market B2B SaaS company.

HelixFlow causal influence network visualization

Synthetic demonstration

HelixFlow Clinical Operations Cloud

Mid-market B2B biotech SaaS — $16.4M ARR, 182 customers, GRR under pressure at 89%.

ARR

$16.4M

GRR baseline

89%

Modeled upside

$580k–$830k

GRR improvement

+1.5–2.0 pts

Read the full case study
Geometric dot-grid pattern representing Synaptios trust architecture and reproducibility
04

Trust architecture

Traceable logic, bounded process, visible approvals

A premium consulting client pays for transparency, not black boxes. Every artifact is typed, versioned, and reproducible.

Typed contracts

Every stage produces versioned, schema-validated artifacts — from evidence ledger entries to activation payloads.

Human-in-the-loop

Mandatory approval checkpoints at problem frame, conceptualization, and activation stages. No hidden agent loops.

Bounded LLM usage

Maximum 2 LLM calls in the SD compile path. Deterministic after IR. No retry loops inside the pipeline.

Reproducibility bundle

Every engagement produces a reproducibility appendix with artifact manifests, version hashes, and decision audit trails.

Model governance

Model cards with intended use, limitations, explainability requirements, calibration notes, and drift monitoring specs.

Dry-run-safe activation

All activation payloads are dry-run by default. No live CRM writeback without explicit human approval.

What this is not

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

Ready to diagnose your retention dynamics?

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.

Start a conversation

[email protected]