Your Clients Want AI. Can Your Team Sell It?
Most MSPs, agencies, and VARs are losing deals — or leaving money on the table — because their sales team can't confidently navigate AI conversations. Prospects ask about AI. Reps pivot. Deals stall. Competitors win.
Forward Deployed Engineering fixes that. We embed our AI architects and engineers directly with your sales team to run deep discovery, map AI solutions to real customer workflows, and build proposals your clients can't say no to.
The Result — your sales team walks into every AI conversation with an actual engineer at their side — one who can speak to architecture, scope the work, and back the proposal with a real delivery plan.
Your clients are asking about AI. Your reps know the buzzwords but can't speak to architecture, workflow integration, or ROI with confidence. Every conversation that stalls is a competitor's opportunity. You don't need to build an AI practice from scratch — you need AI firepower embedded in your sales motion right now.
How Forward Deployed Engineering Works
Our FDEs don't sit in the back office. They join your discovery calls, sit across from your prospects, and do the deep technical interrogation your sales team can't. We map the customer's architecture, workforce capabilities, existing tools, and core business priorities — then identify exactly where AI creates measurable impact.
The result is a solution your team can propose with confidence, backed by a real technical blueprint — not a generic slide deck. Every recommendation is tied to workflows that actually fit the customer, outcomes they can measure, and a delivery path you can sell.
And when it comes to delivery, you choose: we can execute the full buildout, or serve as the FDE layer for your own engineering team. Either way, the solutioning is done right.
- Deep discovery — we learn the customer's business, architecture, and workforce before we propose anything
- Workflow mapping — AI solutions designed around how the customer actually operates
- Revenue mapping — we identify the highest-value AI opportunities across your client base
- Flexible delivery — we build it, or we FDE for your team. Your call.
What We Do Across Your Client Base
Discovery & Business Analysis
- In-depth discovery calls alongside your sales reps
- Mapping customer architecture, data assets, and technical constraints
- Identifying workforce capabilities and change readiness
- Pinpointing the highest-ROI AI opportunities by business unit
- Qualifying deals based on technical feasibility and business fit
Solutioning & Architecture
- Custom AI solution design mapped to real customer workflows
- Technical architecture scoped to existing infrastructure
- Build-vs-buy and make-vs-integrate recommendations
- Proposal development with measurable outcome commitments
- Pricing and scope support for your sales team
Incremental Revenue Identification
- AI opportunity mapping across your existing customer base
- New service line identification tied to client business goals
- Upsell and cross-sell frameworks for AI services
- Competitive positioning against AI-native competitors
- Revenue modeling for new AI service offerings
Optional: Full Delivery
- End-to-end buildout of AI systems scoped during solutioning
- FDE support embedded with your existing engineering team
- RAG pipelines, agentic workflows, and MLOps infrastructure
- Human-in-the-loop governance and compliance scaffolding
- Handoff and knowledge transfer to your delivery team
Enabling MSPs, VARs, and Technology Partners
We also work with managed service providers, value-added resellers, and cloud service partners who need to add AI capabilities to their service offerings. We provide the technical depth and delivery capacity that lets you bring enterprise AI to your clients without building an AI practice from scratch.
We handle discovery, solutioning, pilot execution, and production delivery — so you can offer your clients plug-and-play AI capabilities backed by enterprise engineering talent. Pricing strategy support, competitive differentiation, and stakeholder management included.
Within 90 days, we helped one MSP gross over $400,000 in net new business from our forward engineering solutioning.
The Forward Deployed Model vs. Conventional Consulting
Conventional AI Consulting
- Engagement: Strategy decks, recommendations, workshops from non-technical consultants
- Delivery: Roadmaps, binders, and slidedecks handed to your team
- Timeline: Months
- Outcome: POCs that don't make it to production
- Knowledge: Stays with the consulting firm
Forward Deployed Engineering
- Engagement: Senior architects and engineers embedded in your team
- Delivery: Production systems built custom to your architecture
- Timeline: Weeks
- Outcome: AI systems with measurable impact
- Knowledge: Stored in your central intelligence layer