Expertise as a Service

Build the team your transformation requires.

Keep an accountable core team close to the business, then add specialist depth and governed agents as the work changes. Your people keep ownership of the decisions while the delivery capacity stays in place.

See the delivery model
Your team sets direction. A persistent core team retains context while specialists and agents expand around the work without restarting discovery.
The delivery problem

The tools moved faster than the organization around them.

AI can analyze systems, write code, and coordinate work faster than most companies can approve access, make a process decision, or change a role. Delivery stalls when no one helps the organization make those changes.

Disconnected delivery

More hours pile onto the same bottleneck.

Consultants wait on data, access, decisions, and adoption. Your bill grows even when the transformation does not move.

Embedded transformation

One team clears the bottleneck with you.

The team preserves context, uses agents to increase output, and helps leaders and employees make the changes required for production.

The market is funding deployment teams because software access has not produced adoption.

The EaaSe delivery model

Keep one accountable team. Add expertise when the work demands it.

Expertise as a Service keeps one core team close to the business, then adds specialists and governed agents around the priorities in front of you. The people, operating context, and delivery system stay connected as the roadmap changes.

  • Generalist consultants form a persistent core team that learns the business, owns the backlog, and stays close to the decisions.
  • Specialists join when architecture, Revenue Cloud, integrations, data, Agentforce, or complex AI requires deeper expertise.
  • Governed agents accelerate analysis, documentation, testing, and build work under expert review.
  • A shared knowledge base and direct Slack access keep the context available to everyone responsible for the outcome.
What to expect from the engagement

Know what you’re getting—and what comes next.

Whether we accelerate your internal team or provide the delivery team, we own the agreed delivery work. Your leaders set priorities, make business decisions, and accept the work. The plan makes those responsibilities explicit.

  1. Agree on the plan

    Business objectives, scope, responsibilities, milestones, and a prioritized project plan.

    Know what we own, what your team decides, and what comes first.

  2. Make the solution clear

    Requirements, process maps, and solution designs for the implementation in scope.

    Review what will change before we build it.

  3. Put the work into use

    Demonstrations, testing, client acceptance, a go-live plan, and scoped training.

    Move from an agreed design to a working solution your people can use.

  4. Review progress and decide what’s next

    Written weekly updates and a monthly review of business results, risks, and priorities.

    See what’s working and decide where to focus next.

Your engagement plan defines the deliverables, purchased capacity, and responsibilities. Specialist work, migrations, and AI planning are included when agreed in scope—not bundled into every subscription.

Know what’s working and how to keep it running.

Here’s what we document for the work in your plan. These examples show what each document covers, not results from a client engagement.

Business resultsSee how the work compares with the business goals we agreed on.
What we want to improve
The business goal and how we’ll measure progress.
Where we started
The starting numbers, the period they cover, and the target we’re working toward.
What the data shows
Where the numbers come from and whether they are measured, estimated, or still missing.
Who reviews the results
Who checks the numbers, when we review them together, and what we decide next.

We agree on what to measure and review progress with you each month. If we don’t know the starting point, we work with you to establish it. We label estimates clearly and distinguish them from measured results. A target is not a guarantee.

How your AI workflow runsKnow what the workflow can do, where a person decides, and who keeps it running.
What the AI can do
What starts the workflow, which data it can access, and what it is allowed to change.
When a person decides
Which actions need approval and who handles exceptions.
What happens if it fails
How we test the workflow, its known limits, and how to stop it or use a safe backup process.
Who keeps it running
Who checks the workflow, what they watch for, and who responds when something goes wrong.

Before an AI workflow goes live, we document what it can do and who is responsible for it. Tools and data access follow your agreed policies and restrictions.

Project documents and decisionsFind what you need without having to track down the person who built it.
How it works
Links to designs, process maps, and instructions for using and running the system.
Where to find the code
Where code and system settings live, who maintains them, and how authorized people get access.
What we decided and why
Key decisions and who is responsible for the system and the business choices behind it.
What’s still open
Upcoming work, known limits, what’s holding up progress, and who takes the next step.

We keep links to your project documents and key decisions in one place your team can access, and update them as the work changes. Your agreement defines what you can access and receive at handover. Our proprietary tools, passwords, and other secrets are excluded.

“Their professionalism, planning, and execution are all top-notch for the consulting industry.”

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What changes

Move more of the roadmap without adding another full internal team.

  • Context stays attached to the work, reducing repeated discovery and rework.
  • Specialist depth appears when the priority requires it, without permanent headcount or another vendor search.
  • System health, backlog improvements, and transformation builds can move in parallel.
  • Agents increase delivery speed while experts own quality, change, and production judgment.
Where we fit

Accelerate the team you have. Or build with ours.

You have an internal team

Help your team deliver more.

Many of our largest customers work this way. Your team brings business context and priorities. SOLVD owns agreed workstreams, adding specialist expertise, AI fluency, and delivery capacity.

You need a delivery team

Make SOLVD your team.

We run your Salesforce and AI delivery backlog, maintain the platforms, and bring the skills each priority needs. Your leaders make the business decisions without having to recruit every delivery role.

Several workstreams are active

We coordinate delivery at scale.

As the roadmap grows, coordinated SOLVD teams carry several workstreams alongside your people, sharing context, standards, and accountable leadership.

“The system they helped us build fits how we already work, which made adoption much easier for the team.”

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Questions people actually ask

What does an embedded team cost?

The smallest engagement is one month at $8,000 total. Most clients invest $12,000–$25,000 per month, based on the number and mix of generalist and specialist subscription units.

See complete pricing
How does Expertise as a Service work?

Expertise as a Service is our subscription delivery model. Each generalist or specialist subscription unit contributes delivery bandwidth from a mix of consultants and agents working toward your agreed outcomes. An accountable core team and living knowledge base retain business context as priorities change.

See how subscription support works
Can we just hire someone instead?

Yes. Hire where you need daily business ownership and company context. SOLVD can accelerate that person or team with specialist expertise, AI fluency, and additional delivery capacity. If building an internal delivery team is not your priority, we can fill that role. We help you decide what to own internally and what to entrust to us.

We already have a Salesforce team. Does this still work?

Yes. Many of our largest and strongest customer relationships work this way. Your internal team keeps business context, priorities, and relationships. SOLVD takes responsibility for agreed delivery workstreams, adding specialist expertise, AI fluency, and capacity so your team can move more of the roadmap into production.

Do outside experts take ownership of the transformation?

Yes. SOLVD owns driving the transformation into production. Your leaders retain authority over the business decisions, operating model, and adoption. We help frame those decisions, bring patterns from other transformations, and carry the implementation work forward beside your people.

See the executive leadership model
How quickly does the team build context?

Onboarding starts by capturing your systems, decisions, priorities, and operating context in a shared knowledge base. That context becomes useful inside the first sprint and keeps compounding as the same team works beside yours.

See how SOLVR maintains project context
The next move

Turn the roadmap into working systems.