Embedded, Not Visiting
Our engineers join your standups, work in your tools, and contribute to your backlog. Every architecture decision and reusable pattern stays with you when we are done.
Services / Forward Deployed Engineering
We Do Not Advise and Leave. We Embed and Build.
Forward Deployed Engineering by ConvertEdge Tech places senior engineers (MuleSoft architects, Salesforce specialists, AI engineers) directly inside your team. We are accountable for production outcomes, not slide decks.
A Third Model
What Makes Forward Deployed Engineering Different
Most consulting models keep your team at arm's length. Traditional project consultants arrive, scope, document, and depart. Staff augmentation fills seats without driving change. Forward Deployed Engineering is a third model: one where our team operates as yours, inside your systems, from your backlog, with skin in the game.
Speed as a Discipline
Our FDE cycles run in focused 8 to 16 week windows, targeting a functional MVP within the first 3 weeks. Early delivery prevents scope drift and forces clarity.
Outcomes, Not Outputs
We measure success in KPIs (cycle-time reduction, adoption rates, cost-to-serve), not milestones and documents. Every engagement starts with a clear, mutually agreed Definition of Done.
Capabilities
Services We Deliver Through FDE
One embedded pod, the full enterprise stack. From AI agents in production to the integration fabric that connects your estate, our senior engineers build and ship inside your environment.
AI Deployment
We make AI work in production, not just in PowerPoint. Our FDE team deploys AI models and agents that deliver measurable ROI.
- Model selection and fine-tuning
- Integration with existing CRM/ERP systems
- Guardrails and monitoring
- Scaling from pilot to enterprise-wide deployment
Clients see 3x faster AI adoption, 40% lower deployment costs, and production agents handling 70%+ of Tier-1 support volume.
Seamless Integration
We connect legacy systems, modern APIs, and cloud services using battle-tested MuleSoft and platform integration patterns that deliver results fast. Our integration pods specialize in high-volume, real-time data flows.
CRM Customization and Salesforce
We build Salesforce-based solutions (Sales Cloud, Service Cloud, Agentforce) configured for your workflows, not generic demos. Every implementation is production-grade from day one.
Data Engineering
We architect and build data pipelines, warehouses, and analytics foundations that power AI and business decision-making at scale.
Automation and Workflow Orchestration
We automate business processes end-to-end (referrals, approvals, fulfillment, and service) using Agentforce and MuleSoft to eliminate manual work and reduce cycle time.
API Orchestration
We design, build, and govern API layers that connect your entire technology estate: cleanly, securely, and at enterprise scale.
3x
Faster AI adoption across embedded engagements
40%
Lower AI deployment costs versus pilot-to-prod the hard way
70%+
Of Tier-1 support volume handled by production AI agents
The Engagement
How an FDE Engagement Works
From a sharp first sprint to a self-sufficient co-pilot model, every cycle is structured to deliver working software early and transfer ownership as it stabilizes.
1
1 to 2 weeks
Discovery Sprint
We clarify the high-impact business problem and success criteria. We map your current architecture, constraints, and stakeholders. We align on a clear Definition of Done for the initial FDE cycle.
2
4 to 6 weeks
Innovation Sprint Lab
We select one or two priority use cases, for example a critical integration, an AI agent, or a workflow automation. We deploy an FDE pod alongside your team for a tightly focused sprint. We design, build, and launch a functional MVP, typically within the first 3 weeks. We validate outcomes with real users and data, refine the backlog, and confirm the case for a longer embedded engagement.
3
8 to 16 weeks or more
Embedded FDE Engagement
Our FDE squad embeds with your product, operations, and IT teams. We work from your backlog and cadences, co-owning KPIs like cycle-time reduction, adoption, and cost-to-serve. Continuous delivery across integrations, AI agents, and platform enhancements runs alongside joint governance with your leaders.
4
Optional · ongoing
Ongoing Co-Pilot Model
As the initial program stabilizes, the FDE pod can transition into a co-pilot mode, supporting complex changes, new AI and integration use cases, and upskilling your internal teams. We leave behind patterns, documentation, and operating models so you are not dependent on perpetual external staffing.
Comparison
FDE vs Traditional Models
Project consulting and staff augmentation each solve a narrow problem. Forward Deployed Engineering is built to own outcomes: embedded, senior, and measured on results.
| Feature | Traditional Project Consulting | Staff Augmentation | ConvertEdge FDE |
|---|---|---|---|
| Primary Focus | Delivering a defined scope | Filling skill gaps | Owning business outcomes over time |
| Location and Interaction | Mostly remote, periodic check-ins | Varies by individual | Embedded with your teams and rhythms |
| Team Composition | Larger, rotating teams | Individuals | Small senior pods of architects and engineers |
| Measurement | Milestones and documents | Hours and tickets | KPIs: speed, quality, adoption, ROI |
| Platform Stance | Often tied to specific tools | Depends on individual | Platform-agnostic: MuleSoft, Salesforce, AI, Agentforce |
| Fit for Mid-Market | Can feel heavy or inflexible | Hard to drive change alone | Right-sized, outcome-focused, scalable up or down |
Where We Work
Industries We Serve
Regulated or fast-moving, our embedded pods bring the platform depth each sector demands, plus the engineering judgement to ship within its constraints.
Healthcare
Privacy-first digital transformation that still moves fast. We help integrate EMR/EHR, CRM, and patient engagement platforms; introduce privacy-aware AI assistants within strict boundaries; and automate referrals, prior authorization, and discharge coordination.
Retail and Consumer
We connect ecommerce, POS, loyalty, and marketing into a real-time customer backbone. We orchestrate inventory and fulfillment across channels and deploy AI agents for service and merchandising without compromising brand or compliance.
Manufacturing
We embed architects who integrate ERP, MES, and distributor portals through MuleSoft, build Salesforce-based partner and pricing experiences, and layer AI for demand planning and service optimization.
Financial Services
In regulated environments, execution must be controlled and auditable. We enable straight-through onboarding and claims, architect event-driven risk and reporting systems, and deploy Agentforce-powered service agents with full governance and observability.
The Difference
Why ConvertEdge for FDE
The Forward Deployed Engineering model was pioneered for Fortune 100 budgets. We rebuilt it for teams that need senior execution without the overhead.
Leaner than Big 4 FDE practices
No oversized teams. No multi-layer governance. Just senior engineers driving execution.
More specialized than general consulting firms
Deep MuleSoft, Salesforce, and AI expertise, not broad advisory abstraction.
Built for the Mid-Market Reality
Most FDE models were designed for Fortune 100 programs with large budgets and long timelines. We are built for mid-market enterprises where speed matters more than hierarchy.
Start an FDE Engagement
Talk to Our Forward Deployed Engineering Team
Tell us the problem worth solving. We will scope a Discovery Sprint, propose a Definition of Done, and show you what a functional MVP looks like in your environment.