The business case
your CFO can sign.
Five dimensions: cost, risk, speed, ownership, and commercial flexibility. Here's how TerraEdge answers each — with the kind of numbers procurement can take into a budget review.
Production AI on a procurement-friendly budget.
Fixed-fee POCs, fixed-price production builds, payback ranges measured in months — not years. We commit to numbers up front, not by the hour.
Payback ranges reflect typical client outcomes across our deployment portfolio. Specific ranges for your environment are shared in the first scoping call once we understand data volume, deployment topology, and integration depth.
What you keep. What you avoid.
Every enterprise AI procurement question eventually reduces to risk. Here's where the IP, the data, and the commercial control end up under a TerraEdge engagement.
- Models, weights, and training data
- Pipelines and ML Ops configuration
- Integration code and dashboards
- Domain rule sets and business logic
- Operational telemetry and audit trails
- Knowledge transfer to your engineering team
- Open-source model weights in your pipeline
- Public LLM API dependencies for production workloads
- Vendor lock-in on the AI itself
- IP contamination from cross-client training data
- Per-seat or per-query pricing surprises at scale
- Mystery integration scopes from consulting retainers
From contract to production in a quarter.
The third path between SaaS speed and consulting depth: an accelerator-based build with measured outcomes throughout.
but constrained by their roadmap, their data model, their pricing. Your workflow adapts to the tool.
to a first working system. ROI is theoretical until year two. No reusable IP between engagements.
12 weeks to production. KPIs measured continuously. POC fee fully credited toward the build if you scale.
The nine dimensions enterprise procurement actually reviews.
For buyers taking this into a security or commercial review. The full grid — TerraEdge against off-the-shelf tools and consulting firms, on the dimensions that decide the deal.
| Dimension | Off-the-shelf AI tools | Consulting firms | TerraEdge |
|---|---|---|---|
| Starting point | Rigid product you adapt to | Blank page | Proven accelerator, adapted to you |
| Who owns the system | Vendor (you rent) | Unclear / shared | Enterprise, outright |
| Open-source model risk | High | Varies | None — no public weights in the pipeline |
| Multimodal coverage | Single modality | Advisory only | Docs + Voice + Video + Streams |
| POC → Production | Re-platform | 12–18 months | 4–12 weeks |
| Outcome-based pricing | No (seats) | Rare | Yes |
| Built-in ML Ops & drift mgmt | Add-on | Not delivered | Native |
| ERP / CRM integration | Moderate | Advisory | Production-grade |
| Reusable across your business units | Same product, force-fit | Bespoke, no reuse | Same accelerator, custom per unit |
Seven ways to engage. All auditable.
Procurement-grade engagement models, each with fixed deliverables, defined durations, and pricing that survives a CFO review.
AI readiness assessment, due diligence, use-case prioritization, ROI analysis, roadmap.
Prototype / working model, business impact metrics, success criteria.
Deployed models, APIs, dashboards, documentation.
Model performance monitoring, drift management, updates.
Defined performance metrics, continuous measurement.
Data scientists, MLOps engineers, annotators on demand.
Multi-tenant access to the TerraEdge AI Framework — Doc-In-Sights, Voice Insights, ConverseAR — on pay-per-use economics.
Real outcomes from real deployments.
US County Deed Parser
From 70–80% accuracy to 95%+ across 240 counties.
BDO Indian Customs Document Intelligence
99% extraction efficiency on complex customs forms.
Aircraft Maintenance Intelligence (Lightweight LLM)
50% faster technical issue detection on a private LLM.
Not ready for AI yet? Want to chat about possibilities?
No pitch, no pressure. Just a conversation about where AI could fit, or where it can wait. Bring your skepticism — we'll bring ours.
Walk into your next budget review with a sized POC and a signed KPI.
A 4-week POC, a fixed scope, defined KPIs. If it clears, we scale it. If it doesn't, you keep the architecture blueprint.