Opportunity & Hypothesis
We define the operating opportunity, requirements, integrations, data inputs, and success criteria before code.
Proof-of-Concept Builds
Prove it before you build it.
Prototype GTM systems and AI workflows to validate feasibility, ROI, and internal buy-in before full implementation.
Trusted by revenue leaders
TreasuryPath
Three Key Pillars
Prototype Build
Ombrik GTM engineers build a working prototype against the agreed scope. Real data, real conditions, your actual environment.
Validation Evidence
We test the prototype against the agreed success criteria and surface constraints before they become build problems.
Production Recommendation
Every POC ends with a clear recommendation: proceed, adjust the approach, or choose a better-fit solution.
The Shift
Most implementation failures are scoping failures, not engineering failures. A focused POC turns technical reality into evidence before you commit to a full build.
What We Build Proofs of Concept For
01
AI Workflow Automation
Validate an AI workflow under real operating conditions before a full build.
02
CRM Data Models
Test CRM objects, pipeline logic, and data structure before live migration.
03
AI Agents
Validate deal scoring, next-best-action, research, or pipeline monitoring against real data.
04
Signal Infrastructure
Test enrichment logic, intent processing, source coverage, and output quality.
05
Integrations
Confirm data flows, logic, and edge cases across connected platforms.
06
Outbound Infrastructure
Test domains, inboxes, sequence logic, and deliverability before scaling volume.
The Validation Journey
POC engagements work best for RevOps and GTM Engineering teams that know what needs to be built, but need more engineering depth or external validation.
They also help when leadership needs to see something working before approving a full implementation. A prototype is more persuasive than a proposal, and faster to produce.
01
Frame the Hypothesis
Define the opportunity, operating conditions, technical constraints, and evidence required to make a decision.
02
Build the Prototype
Create a working version against the agreed scope using real data and the actual operating environment.
03
Validate the Evidence
Test feasibility and the agreed success criteria, documenting limits, risks, and necessary adjustments.
04
Recommend the Production Path
Conclude with a clear proceed, adjust, or choose-a-better-fit recommendation before full implementation.
Next Step
Bring us the concept. We will tell you whether it works and build the evidence to prove it.