Two-Level Engagement Model

Clear, Low-Risk Delivery: POC to Phased Rollout

Eliminate upfront risk. Validate signal feasibility on your actual data in a consulting-only POC (typically 20–40 hours total) where you pay strictly for team time, then roll out live production sources incrementally on your roadmap.

Level 1 — Proof of ConceptTypically 20 – 40 Total Hours

Feasibility & Diagnostic POC

Client pays strictly for consulting time — Zero platform license commitment

We take a representative data sample you provide, assess its feasibility to retrieve high-value signals, align on an initial taxonomy, connect it to Signalia Engine, and evaluate real results with your leadership.

Historical Sample Intake: 5,000 – 50,000 raw customer feedback items.
Initial Taxonomy Alignment: Catalog and issue classification calibrated.
Engine Evaluation Readout: Verifiable aspect signals & feasibility report.
Outcome: Clear Go/No-Go milestone before full implementation.
Level 2 — Full ImplementationPhased by Complexity

Phased Production Rollout

Priority sources go live first — Value delivered in waves

Upon POC approval, we agree on an implementation roadmap to onboard all required sources. Timeline depends on system complexity, but can be spread across weeks while priority channels are already live and generating value.

Fast-Track Priority Channels: Launch urgent sources in production first.
Incremental Source Onboarding: Add remaining streams as bandwidth allows.
Managed Operations & SLA: 24/7 connector maintenance & schema drift monitoring.
Outcome: Agile delivery where your team receives intelligence from day one.
Level 1 Detail

Level 1: Proof of Concept Methodology (20 – 40 Total Hours)

Here is the exact methodology we follow in the POC phase. You supply the sample data, and our team handles the heavy lifting to prove feasibility before you commit to full implementation.

14 – 8 Hours

Data Sample Intake & Audit

You provide a representative sample of historical data (e.g. 5,000 – 50,000 reviews, tickets, or survey logs). We inspect text substance, noise patterns, and language distribution.

CSV, JSON, or bucket dump
Noise & bot signature audit
PII/GDPR perimeter verification
28 – 14 Hours

Initial Taxonomy Calibration

We align on your initial catalog hierarchy (SKUs, departments, property room types) and calibrate topic boundary definitions against real customer expressions.

Catalog & SKU structure alignment
Zero prompt engineering for client
Aspect sentiment boundaries
36 – 12 Hours

Engine Connectivity & Diagnostic

We feed the sample dataset into Signalia Engine to perform atomic sentiment decomposition, eliminate neutral noise, and attribute evidence citations.

Signalia Engine reasoning run
Atomic aspect extraction
Evidence attribution validation
44 – 6 Hours

Executive Evaluation & Go/No-Go

We present a comprehensive findings readout and feasibility benchmark. If approved, we build the full implementation roadmap starting with your highest-priority sources.

Side-by-side accuracy evaluation
Clear feasibility scorecard
Roadmap kickoff & prioritization
Level 2 Detail

Level 2: Full Phased Implementation Roadmap

After the POC is approved, we execute a tailored rollout plan. You don't have to wait for every system to be wired up—we get high-impact sources live first, then progressively expand.

Fast-Track Wave 1

Highest-Priority Sources Go Live First

Weeks 3 – 4

We don't make you wait months for intelligence. We immediately connect and automate the data streams your team needs urgently (e.g. Google Reviews, Shopify, or Zendesk).

Live automated connector for priority source #1 & #2
Direct warehouse streaming (BigQuery, Snowflake, or PostgreSQL)
Initial stakeholder training & alert dashboard
Incremental Wave 2

Multi-Source Expansion & Cross-Channel Normalization

Weeks 5 – 8

Spread over time based on your organizational bandwidth. We onboard secondary sources—chat transcripts, email tickets, CSAT forms, and external community listening.

Cross-channel entity resolution & deduplication
External competitor listening or Reddit/forum monitors
Continuous taxonomy refinement as new topics appear
Continuous Operations

Ongoing SLA Monitoring & Connector Maintenance

Ongoing Production

Once streams are live, our Studio team monitors connector health, handles vendor API breaking changes, manages schema drift, and delivers periodic intelligence briefings.

99.9% pipeline uptime and <1-hr incident response SLA
Automatic adaptation to third-party API changes
Quarterly catalog re-indexing and executive briefings
Client Advantage

Why We Separate POC Feasibility from Full Rollout

01. Zero Software Risk

Pay Consulting Hours Only

Never get locked into an annual SaaS contract before seeing your real feedback data evaluated by the AI reasoning engine.

02. Faster Time to Value

Live in Waves, Not Big Bang

Priority channels go live first. Your teams start acting on customer friction while remaining complex sources are wired up in parallel.

03. Grounded Taxonomies

Real Quotes, No Guesses

The taxonomy isn't theoretical—it is validated directly against thousands of your historical customer sentences before production launch.

Common Questions

Frequently Asked Questions

Everything you need to know about implementation, integration, data security, and measurable ROI.

To eliminate upfront risk. In Level 1 (POC), you do not commit to an annual software platform license. We take a sample of your feedback data, verify whether high-confidence signals can be extracted, calibrate an initial taxonomy, connect to Signalia Engine, and evaluate real results together. Once you approve the benchmark, we proceed to Level 2 (Full Implementation) with an agile roadmap.

Tell us what you want to understand from your customer data.

Whether you need to configure custom taxonomy around your products, integrate unstructured customer tickets, or audit experiential friction—we can set up a tailored demonstration.

Your data remains on dedicated infrastructure • Continuous verification & quality control