Add a production-ready agentic-modernization platform to your delivery stack.
The economics of modernization delivery are shifting fast — fixed-fee margin pressure, outcome-based commercials, and hyperscaler agentic platforms are reshaping how engagements get sold. CloudHedge CHAI is the productized platform that lets your firm compete on these new commercials, compress labor-heavy discovery phases, and arm your pre-sales team with a live AI-native delivery capability — without the 18-month internal build.
Working with leading global system integrators
Why partners are moving now
Independent analyst data, hyperscaler partner metrics, and live M&A activity all point in the same direction: the labor-first GSI model is being structurally compressed, and the firms moving first are pulling away.
Cloud-infra deal sizes are shrinking
Over the last three years, cloud-infrastructure deals have typically shrunk 15–20% in size despite holding the same scope and volume. AI-driven service-provider efficiency gains are being competed back into pricing.
Agentic platforms are measurable productivity multipliers
Partner-reported metrics on hyperscaler agentic platforms: 33% time savings on mainframe modernization (Kyndryl), 10–15% engineering productivity gains and ~30% reduction in legacy-SME dependency (HCLTech). The productivity case is no longer theoretical.
Build-vs-buy economics favor partnership
Productized modernization accelerators that take 18+ months and $1M+ to build internally are deployable in weeks under a commercial-partner relationship. Scarce engineering talent stays focused on customer-facing delivery, not internal platform-engineering.
A new category, sized by 2035
"Services-as-Software" — HFS-coined in 2024 — describes the convergence of professional services and software into scalable, AI-led, productized solutions. HFS projects a $1.5 trillion market re-allocation by 2035. Two-thirds of enterprises are already frustrated with both their software and services investments.
Three commercial models, one productized platform
CloudHedge partners with system integrators under whichever commercial structure fits the engagement. All three models share the same underlying delivery: CHAI runs in your client's tenant, your team leads the engagement, CloudHedge supports the platform.
Joint pursuit of named accounts. CloudHedge product-led motion alongside the partner's relationship-led motion. Shared deal registration, joint customer briefings, mutual sales enablement.
Economics: CloudHedge licensing direct to the customer (often through hyperscaler marketplace); partner earns delivery margin plus a revenue-share on the platform fee.
Best for: partners with deep customer relationships in target accounts but limited internal modernization tooling. Lowest-friction model to start.
CHAI embedded into the partner's existing delivery framework. Partner-branded interface, methodology integrated into the partner's playbooks, CloudHedge as the underlying platform engine.
Economics: Volume licensing or per-engagement pricing; partner owns the customer relationship and the commercial contract entirely.
Best for: partners with a named modernization practice and a desire to extend its productized capabilities without internal platform-engineering investment.
Single-engagement, fixed-scope evaluation against a real customer modernization workload — typically a discovery and assessment phase. Hard Go/No-Go gate at week 4–6.
Economics: Fixed evaluation fee, no long-term commitment from either side. Expand into Model 01 or 02 if the pilot meets named criteria.
Best for: partners new to CloudHedge who want production-grade evidence before committing to a longer engagement.
CHAI in your delivery stack
CHAI is designed to be deployed inside your client's environment under your delivery commercial. The architectural footprint is intentionally narrow: customer-resident, BYO-LLM, output-as-artifact.
Deployment
Runs in the customer's own cloud tenant (AWS, Azure). Air-gapped on-premise deployment available for governance-sensitive workloads. CloudHedge operates the platform; the customer or partner operates the engagement.
LLM model
BYO-LLM through Amazon Bedrock, Azure AI Foundry, or self-hosted endpoints. Customer code never leaves the customer environment. Aligned with enterprise SI governance policies on third-party model exposure.
Integration surface
REST APIs for partner platform integration. A2A (Agent-to-Agent) protocol for hyperscaler agentic platform interop. Outputs are structured artifacts — Markdown reports, JSON, generated code — that flow into the partner's existing CI/CD and PM systems.
Commercials
AWS Marketplace billing live; Azure Marketplace in progress. Direct license through CloudHedge as an alternative. Partner revenue share or OEM licensing as commercial preference dictates.
The pre-sales toolkit
Your pre-sales team gets immediate ammunition. Six artifacts shipped on day one of any partnership engagement.
Live Demo Environment
A working CHAI environment your pre-sales team can use in customer meetings, with sample legacy estates pre-loaded for instant demonstration.
Analyst Citation Pack
HFS Research, Everest Group, AWS partner-reported metrics. Source-cited, slide-ready, vetted against original publications.
RFP Response Templates
Pre-built sections for the most common modernization-RFP question patterns — discovery, dependency mapping, transformation approach, governance, AI capabilities.
Customer Reference Library
Anonymized case studies and tear-sheets from existing CloudHedge engagements available on request. Joint partner-CloudHedge case studies authored as the partnership matures.
Solutions Architect Onboarding
Structured onboarding for partner SAs covering platform architecture, recipe authoring, customer-deployment patterns, and integration with AWS/Azure marketplaces. Scope and duration adapted to partner team size and prior platform experience.
Joint Solutioning Bench
CloudHedge engineers available for joint customer scoping calls during active pursuits. Co-authored proposals when the deal warrants it.
What partnership unlocks
Co-sell revenue share is the commercial baseline. The full value of partnership comes from the joint motion — analyst-positioning, event presence, content collaboration, ecosystem leverage.
Joint Case Studies
CloudHedge authors customer success stories; partner co-publishes under joint branding. Both firms get attribution; the partner's pre-sales team gets a ready-made reference asset for new pursuits.
Hyperscaler Event Co-Presence
Joint booth, joint speaking slots, joint customer panels at AWS Summits, Microsoft Ignite, and Google Cloud events. CloudHedge funds the platform technical depth; partner brings the customer narrative.
Joint Analyst Briefings
Coordinated briefings with HFS Research, Everest Group, Forrester, and Gartner that get the partner included in CHAI-related coverage and inquiry responses. Analyst-positioning is leverage neither party gets alone.
Co-Branded RFP Collateral
Partner-branded versions of CHAI sales material, technical datasheets, and proposal sections. Drop into RFP responses with partner-led framing and CloudHedge-validated technical substance.
Partner-Led Webinars
Partner hosts the conversation with their customer base; CloudHedge provides platform technical depth, live demo, and engineering Q&A. Partner owns the audience relationship.
Joint Blog & Content
Co-authored technical blog posts, thought-leadership essays, and customer-case-narrative content. Mutual cross-promotion across both firms' channels and LinkedIn audiences.
Live customer outcomes, measurable results
A selection of CHAI engagements with concrete, customer-validated outcomes. Full case study library at /success-stories/ — partner-friendly tear-sheets available on request.
European automaker containerizes APAC dealer platform
Automated containerization on AWS EKS with Azure portability. 99.9999% uptime sustained across the APAC region.
Read case studyAfter 18 months stuck, shipped in weeks
On-prem ISV to SaaS landing zone on CHAI Flow + EKS Blueprints. SOC2-ready RBAC; single-flow customer onboarding.
Read case studySix-nines availability, cut run-rate
Mission-critical financial-exchange platform modernized for resilience without lift-and-shift; operational cost reduced in parallel.
Read case studyWhere margin shows up
On fixed-fee engagements — an estimated 60–70% of GSI delivery by 2026 — every hour saved becomes margin, not lost revenue. The same logic applies to outcome-based commercials. The mechanism, side-by-side:
Without An Agentic Platform
- Senior engineers consumed on labor-heavy discovery and dependency mapping
- 14–18 months of manual modernization per estate
- Fixed-fee margin pressured by every hour of overrun
- RFPs lost to competitors with demonstrable AI assets
- Junior bench under-utilized — workload concentrates on senior grade
- Build internally: $1M+, 18+ months, opportunity cost on scarce engineering talent
With CHAI Partnership
- Senior engineers freed for architecture, customer-management, and high-leverage decisions
- 7–14 days for the equivalent discovery and assessment phase
- Every saved hour on fixed-fee engagements becomes pure margin
- Live demonstrable platform in every RFP response
- Junior delivery staff productive on analytical work with senior oversight
- Productized platform; weeks to deployment; zero capex
What partners typically ask
Won't this reduce our billable hours?
On the 60–70% of GSI engagements that are now fixed-fee or outcome-based, every hour CHAI saves becomes pure margin — not lost revenue. The Everest data shows cloud-infrastructure deal sizes have shrunk 15–20% in three years regardless of any single firm's adoption decision; the pool is contracting on its own.
On time-and-materials engagements, the relevant question is which engineers do which work. Discovery and dependency mapping are senior-engineer tasks today; CHAI shifts that workload to junior delivery staff under senior oversight, rebalancing the pyramid toward higher-leverage bookable hours and freeing senior bench for architecture and customer-management work.
What about IP and customer-relationship control?
CloudHedge can be a named party in the customer contract or be invisible to it, depending on the commercial model. Distribution through AWS and Azure Marketplaces means the customer's CHAI subscription is hyperscaler-billed — separate from the partner's delivery contract, with no commercial disruption to the partner relationship.
The platform runs entirely in the customer's tenant under BYO-LLM (Amazon Bedrock, Azure AI Foundry). No customer code leaves the customer environment.
How fast can we be ready to sell?
Two weeks of solutions-architect enablement gets a partner pre-sales team ready to demonstrate the platform in customer meetings. Four to six weeks runs a full joint-pilot evaluation against a real customer workload, with a Go/No-Go gate at the end. Compared to the 18-month internal build economic, the time-to-revenue gap is meaningful.
Can we show this in RFPs?
Yes. A live demo environment, an analyst-citation pack with HFS and Everest data, RFP response templates, and the customer reference library are part of the pre-sales toolkit. CloudHedge solutions architects participate in joint customer scoping when the deal warrants it.
How does CHAI compare to other modernization platforms?
CHAI's discovery and dependency mapping cover a broader workload surface than typical cloud-assessment-focused tools — including Windows/.NET, mainframe, and OS-level workloads in addition to cloud-native assessment. Live conversation invited — we'll walk through specific capability overlap and gap against any named comparable.
I'm already a CHAI co-sell partner — does this page change my terms?
No. Existing partner relationships continue under their current MPA terms, named-account allocations, and revenue-share arrangements. This page documents the partnership structures available going forward and provides public context for prospective partners and customers researching CHAI's partner ecosystem. Anything not in your signed MPA is descriptive, not contractual.
Recognitions
Schedule a 15-minute partnership briefing.
Walk through the partnership models, the market context, and what a first engagement could look like for your firm. No prep required — we'll bring the data.
Or email partners@cloudhedge.io directly.
Analyst data cited from publicly available HFS Research and Everest Group publications, and AWS partner-reported metrics from the AWS Transform partner ecosystem (2025–2026). All third-party trademarks are the property of their respective owners. CloudHedge has no formal endorsement relationship with the cited analyst firms unless explicitly stated. References to Services-as-Software, SaS Stars, and HFS Horizons are HFS Research-coined terminology and remain the intellectual property of HFS Research.