SOLVD.cloud
Talk through your project
AI Consulting

Turn AI ambition into business results.

Get executive guidance, implementation, or both. Implementation can mean building AI solutions, training your team to use AI effectively, or combining the two.

Discuss your AI prioritiesSee the embedded team
Our consultants discussing a workflow around a meeting table, with a process diagram on the whiteboard.
Choose the right work

Make your next AI decision with confidence.

Your leaders need to know which opportunities deserve investment, what should change, and who will make it happen. We help connect those decisions to a practical implementation plan.

  1. Find the opportunity

    Identify the customer or business result worth improving.

  2. Make the business case

    Compare impact, effort, dependencies, and risk before investing.

  3. Lead implementation

    Give the work an accountable owner and a team that can build it.

A roadmap built around your business

Know where to invest in AI next.

Illustrative roadmap · your priorities depend on value, readiness, and risk
Pursue now

Weekly reporting

Your team rebuilds the same report each week.

Next move Pilot AI-assisted preparation. Measure time saved and accuracy.

Prepare next

Quote approvals

Approval rules and source data differ between teams.

Next move Agree the policy and fix the inputs before automating.

Postpone for now

Customer-facing agent

Answers and escalation paths are not reliable yet.

Next move Revisit after knowledge, handoffs, and ownership are tested.

Leave with a clear recommendation: what to pursue, what needs preparation, and what can wait.

The expertise you need

Work with the team that puts the plan into practice.

John Turner
Technical leadership

John Turner

CTO + Practice Director

Already have a plan? We can build and integrate AI solutions, train your people, or help your team adopt the tools you already have. Need direction first? Our executive advisors can help define priorities and a practical plan. Choose the support you need, independently or together.

What can the leadership engagement cover?

We define the customer experience and business outcomes, clarify roles and decision rights, assess which work benefits from AI, and sequence the changes. Adoption planning covers access, tools, training, oversight, and incentives. The mandate is shaped around your business.

“We recently did two projects with them - an org migration and building a custom agentforce agent. … Not only do I appreciate how thorough their work and processes are, but where they really stand out to me is in education and setting you up for success even after the project has concluded.”

Evans NationalOrg migration and custom Agentforce agent · AppExchange reviewRead the AppExchange review (opens in a new tab)
Customer proof

Location 3 standardized Claude Code across engineering.

Engineers had already adopted Claude. SOLVD.cloud helped Location 3 replace one-off local setups with a shared Claude Code plugin, standardized SDLC skills and rules, hooks for planning through PR validation, repo-specific architectural guardrails, and a shared engineering knowledge base.

The result: one consistent, context-aware AI workflow across the codebase — consistency by default, owned at the organization level.

FAQs

Can we hire you for implementation without executive consulting?

Yes. Engage us for executive consulting, implementation, or both. If you already have an AI strategy or internal leader, our consultants can build and integrate solutions, provide hands-on training, or lead adoption of your existing AI tools. You can choose build work, training and adoption, or both. A fractional executive engagement is optional.

What does a fractional Chief AI Officer own?

The role owns the AI-native vision, executive alignment, operating standards, opportunity portfolio, prioritization, and accountability for turning the roadmap into working systems. The exact mandate is set with your leadership team rather than copied from a generic job description.

How is this different from an AI strategy consultant?

Your AI leadership can be backed by the team that implements the plan. We agree the delivery scope and resource mix around your priorities, from data and integrations to training, governance, and AI workflows.

See how the embedded team works
Do we need to run on Salesforce?

No. AI transformation can begin anywhere the business case is real. Salesforce is where we have the deepest implementation advantage, especially when customer data and customer operations sit at the center of the change.

Can this work with an internal AI or Salesforce leader?

Yes. Strong internal ownership makes the model better. We can advise and extend that leader with specialist depth, delivery capacity, and patterns for data readiness, agent governance, and organizational adoption.

Explore the embedded team model
Where should we start?

Start with the business outcome leadership cares about and the constraint holding it back. A fit conversation can determine whether the right first move is the executive vision, a Headless 360 readiness assessment, or a specific workflow with clear value.

Talk through your priorities
Does Claudeforce remove the need for an AI strategy?

Claudeforce gives Salesforce customers a strong new execution surface. Leadership still owns the AI-native vision, role and process redesign, model policy, human escalation, economics, and adoption. The product makes those choices more urgent because agents can act against live business systems.

Read the Claudeforce field note
The next move

Get the AI guidance or implementation you need.

Discuss your AI prioritiesSee the embedded team