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FORGE - Managed AI Delivery

MOST ENTERPRISE AI PROJECTS NEVER REACH PRODUCTION. THE ONES THAT DO TAKE 9–18 MONTHS.

Production AI in 12 weeks. Managed end-to-end. Billed monthly.

FORGE takes a mid-market company from scoping to working production AI in 12 weeks — at a defined monthly fee, with a fixed POD team, and a clear path to expansion. One commercial model. One delivery rail. No project overruns. No change-order surprises.

FRAMEWORK FOR ORCHESTRATED RESULTS & GROWTH EXECUTION
FIVE POD TIERS · SIZED TO THE WORK
XS
$34K /mo
0.75 onshore + 2 ODC.
Entry POD for first AI use case.
S
$56K /mo
1.0 onshore + 4 ODC.
Single-domain build.
M
$84K /mo
1.5 onshore + 6 ODC.
Standard mid-market engagement.
L
$128K /mo
2.0 onshore + 10 ODC.
Multi-domain, parallel sprints.
XL
$232K /mo
3.0 onshore + 20 ODC.
Enterprise-scale, 3+ workstreams.
WHAT EVERY FORGE ENGAGEMENT INCLUDES

Dedicated POD

Same team for the duration. US architect plus Softura ODC engineers. Not a project — a team.

Fixed monthly MRR

No hourly billing. No change orders. Your CFO knows the cost before signing.

SPARK Workshop bundled

Use case identification + ROI model built on your numbers. Not billed separately.

12-week milestone

Working AI in production by week 12. Not artifacts, not POCs, not slideware.

PULSE platform

Use case lifecycle and governance platform, deployed within 60 days. Bundled.

Monthly impact reviews

Measured outcomes against the ROI model — not status decks, not burn-down charts.

Tier scaling, no renegotiation

Move XS → S → M as the pipeline grows. Same contract. No procurement rerun.

Data engineering included

Pristine data not required on day one. The POD handles the cleanup.

We signed a fixed-MRR engagement and got production AI in twelve weeks. No change orders, no scope creep, no "phase two" surprise invoice. I budgeted it once and forgot about it.
— CFO, Tier 1 Manufacturing Client
WHY FORGE WORKS WHERE PROJECTS DON'T
5
POD tiers
Sized to your scope — from $34K to $232K MRR. PODs scale up or down without renegotiation.
12
wk
To production
Discovery to working AI in your environment by week 12. Not artifacts. Not POCs. Not slideware.
0
Change orders
One commercial model. One delivery rail. No project overruns, no scope-creep surprises.
FORGE IN PRACTICE

Working AI in production. Not artifacts, not POCs, not slideware.

Below: what FORGE actually delivers, what the 12-week journey looks like, and where it works hardest.

BUILT FOR FINANCE, TECHNOLOGY, AND THE RIGHT-SIZED BUSINESS

FOR THE CFO

Predictable spend. Defensible economics.

  • Fixed monthly MRR. No hourly billing. No phase-two surprises. Budgeted once, runs to plan.
  • ROI model built first. The SPARK Workshop produces your business case before the build starts.
  • Tier flexibility. Scale XS → S → M as the pipeline grows. No procurement rerun, no new SOW.
  • Monthly impact reviews. Measured against the ROI model — your numbers, not generic benchmarks.

FOR THE CTO

A team, not a project.

  • Real engineers, dedicated. Onshore architect plus ODC AI/ML, data, and QA. Same team for the duration.
  • Data engineering included. Pristine data not required on day one — the POD handles the cleanup.
  • Working AI by week 12. Not a deck, not a notebook — production code running in your environment.
  • PULSE platform bundled. Use case governance and pipeline management, no separate procurement.

WHO FORGE IS FOR

Mid-market companies with AI-ready data.

  • Revenue $50M to $2B. The segment underserved by Big 4 advisory, unreached by hyperscaler delivery teams.
  • One or more identified opportunities. Automation, intelligence, optimization, or prediction.
  • Strong-fit verticals. Manufacturing, financial services, healthcare, distribution, professional services.
  • Data exists — even if messy. FORGE includes data engineering; perfect data is not a prerequisite.
THE 12-WEEK JOURNEY

From scoping to production. By week 12.

1
Weeks 1–3 · Discovery
SPARK Workshop. Use case identification. Data inventory. ROI model on your numbers.
2
Weeks 4–6 · Architecture
Reference architecture confirmed. Data pipelines built. Integration points scoped to your stack.
3
Weeks 7–9 · Build
Model development, training, and integration. Weekly iteration with your business sponsor.
4
Weeks 10–12 · Production
Deployment, validation, and PULSE handoff. Working AI in your environment by week 12.
USE CASES DELIVERED THROUGH FORGE

Manufacturing

Predictive maintenance and quality intelligence.

Sensor data and historical work orders feed models that flag equipment failure 7–14 days early and identify quality drift on the line in real time.

Typical tier: M
$84K/mo

Financial services & healthcare

Fraud detection, document intelligence, clinical operations.

Transaction streams, document corpora, and clinical workflows scored at scale — replacing manual review and accelerating revenue recovery.

Typical tier: M / L
$84–128K/mo
© 2026 Softura - All Rights Reserved
© 2026 Softura - All Rights Reserved
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