Fractional & embedded specialists · Staff augmentation

Add the specialist. Keep the broader practice behind them.

Bring a fractional or full-time Salesforce administrator, developer, architect, Go-to-Market Systems Engineer, or AI engineer into your team—with GAT architecture review, delivery standards, backup, and broader depth behind them.

  • 50+ Salesforce projects
  • 100+ integrations
  • 5.0 client rating
  • 6+ years Salesforce

Sometimes the roadmap is already clear and the constraint is capacity. You need someone inside the team who can join the cadence, own a defined lane, and keep work moving without a long recruiting cycle or a generic resume handoff.

GAT provides fractional and embedded Salesforce, go-to-market, and AI specialists for that job. The person works within your priorities and collaboration model, while the wider GAT practice provides architecture, development, integration, release, and AI engineering depth when the work crosses role boundaries.

AI augments discovery, analysis, build, testing, and documentation. It does not replace the embedded professional or the human judgment required for production systems. You get accountable delivery from people who can explain the work, operate within your controls, and leave the system maintainable.

Who this is for

Built for teams like yours

Teams with an open role and work already waiting

The backlog cannot pause for a full hiring cycle, but the role needs more than temporary ticket coverage.

  • Fractional or full-time embedded coverage
  • A defined role, outcomes, cadence, and escalation path
  • Continuity while the permanent team takes shape

Salesforce leaders with a depth gap

The internal team can run the org, but a migration, integration, release, or architecture decision exceeds current capacity.

  • Admin, developer, and architect profiles matched to the work
  • Access to broader GAT expertise when the scope crosses disciplines
  • Documentation and knowledge transfer built into delivery

Product and GTM teams adding AI engineering

The team has a real RAG, agent, or workflow use case but no dedicated engineer to own the production path.

  • Embedded AI engineering for RAG, agents, tools, and evaluations
  • Salesforce and GTM integration depth in the same practice
  • A practical path from prototype through production operation

Capabilities

Roles GAT can embed

Salesforce administrator

Configuration, Flow, permissions, data quality, reports, dashboards, user support, backlog ownership, and release coordination.

Salesforce developer

Apex, Lightning Web Components, integrations, automation, testing, debugging, source control, and production releases.

Salesforce architect

Data model, security, integration, platform boundaries, roadmap decisions, design review, and technical governance.

GTM Systems Engineer

Salesforce, HubSpot, forms, enrichment, routing, attribution, communications, billing, support tools, and cross-platform operations.

AI engineer

RAG systems, retrieval pipelines, conversational apps and chatbots, model and tool integration, agents, MCP, evaluations, observability, and governed deployment.

Delivery leadership

Roadmap shaping, scope control, stakeholder communication, risk escalation, documentation, and a reliable operating cadence.

GAT Solutions brought strong Salesforce and development depth, communicated clearly, delivered within the agreed timeframe, and earned the client's confidence for future work.

Salesforce delivery partnership · Verified client review

How we deliver

From operating problem to a system your team can run

  1. 01

    Define the lane

    Agree on the role, outcomes, working hours, team interfaces, environments, controls, and the work the embedded person will own.

  2. 02

    Embed with an operating cadence

    Join the team's tools and rituals, ship visible work, document decisions, and escalate architecture or delivery risk early.

  3. 03

    Scale or transition deliberately

    Adjust capacity as the roadmap changes and preserve knowledge through documentation, pairing, and a planned handoff when needed.

Questions

Frequently asked questions

Can GAT provide someone fractional or full-time?
Yes. Fractional describes part-time specialist coverage; embedded describes someone working closely inside your team and can be part-time or full-time. We define availability, ownership, cadence, and escalation before the engagement begins so the role is unambiguous.
How is staff augmentation different from managed services?
Staff augmentation embeds a named professional into your priorities and team cadence, usually when you already know the role you need. Ongoing systems ownership gives GAT broader responsibility for the roadmap and lets the mix of administration, development, architecture, GTM systems, integration, and AI depth change as the work changes.
Can the embedded person work with our existing Salesforce team or partner?
Yes. GAT can fill a defined gap inside an internal team, work alongside another delivery partner, or own a specific workstream. Interfaces, decision rights, environments, and release responsibilities are clarified at the start.
Can we embed an AI engineer for a RAG or agent project?
Yes. The role can cover retrieval and ingestion pipelines, model and tool integration, MCP, agent orchestration, evaluations, monitoring, and the Salesforce or GTM connections around the use case.
Who is accountable for quality and architecture?
The embedded professional owns their delivery lane, and GAT remains the escalation point for the engagement. When the work needs broader architecture, security, integration, or release review, the practice can bring that depth in rather than leaving one person isolated.
How do we get started?
Book a consultation with the role, approximate capacity, current stack, and work that is waiting. GAT will recommend embedded staff augmentation, managed services, or a fixed implementation based on which model gives the work the clearest ownership.

Initial systems consultation

Add a named specialist without isolating the work.

  • You leave with
  • A focused consultation with a senior systems consultant
  • A current-state fit and architecture read
  • A recommended path — implementation, ongoing ownership, or product