AI SERVICES
We help organizations find where AI creates real value, put it to work inside the platforms you already trust, and keep it running as your needs grow. Advisory, discovery, implementation, and managed services, one arc, one partner.
Why Agile Cloud Consulting
Three things separate an Agile Cloud AI engagement from a one-off AI project.
01
We assess your data, your workflows, and your challenges first. From there, we recommend the approach that fits your mission, your team, and where you are today.
02
Every agent and integration ships with explicit guardrails: scoped tools, documented policies, and clear controls over what the AI can see and do, including Salesforce’s own governance layer where it applies. Your team trusts what it can see and control.
03
AI delivers the most value as an initiative that matures over time, not a single launch. Advisory, discovery, implementation, and managed services connect into one arc, so each stage builds on the last.
We are a Salesforce.com Consulting and PDO Partner
We have a 5 star rating on the AppExchange
Our CEO Sharif Shaalan is a Salesforce MVP Hall of Fame Member
We have been named to the Inc. 5000 list five years in a row
We are a Proud Pledge 1% Member
We are an Anthropic registered partner, with Claude Certified Architects on staff
Our Approach
Start wherever you are today. Each stage builds the foundation for the next, from the first strategy conversation to the system that keeps improving.
For organizations building the case before committing the budget.
For organizations ready to find where AI pays off first.
For organizations turning a roadmap into working systems.
For organizations keeping AI healthy and expanding what it does.
How We Work
Every engagement follows our trusted process. Understand the problem, design the solution, build it, and prove it works.
We evaluate your data, platforms, and workflows to find where AI creates real value, and confirm you have the documented knowledge it needs to work.
01
We define the architecture, the integrations, and the guardrails before any build begins, so scope and cost stay predictable.
02
We build inside the platforms you already trust, from a configured Agentforce feature to a custom agent with its own tools.
03
We monitor, tune, and expand what your AI does as your organization and its needs grow.
04
What We Build
The following examples of our work are packaged, outcome-first ways to put AI to work inside the platforms you already run. Start with the one that matches where you feel the most pressure today or reach out to us to discuss your use case.
Turn scattered policies, help articles, and institutional knowledge into instant, accurate answers.
Staff and members sink hours into hunting for answers that already exist somewhere in your systems.
Give fundraisers and program staff a complete, meeting-ready view of any donor or constituent on demand.
Your team spends hours assembling a full picture of a donor from Salesforce and outside sources before every meaningful conversation.
Help a small grants team pursue more opportunities without adding additional headcount.
Your team spends significant time analyzing requirements and drafting applications, which caps how many opportunities you can chase.
Take repetitive operational work, status updates, data entry, report generation, off your team’s plate.
Skilled staff spend too much of their week on internal work that follows the same rules every time.
Turn the Agentforce license you already own into agents your staff actually trust and use.
You own Salesforce and Agentforce, but activating it safely, with real adoption, is a different task from turning on a feature.
Give your program team decision-ready applications instead of piles of paperwork to sort through first.
Application volume keeps rising without more staff, and reviewers spend hours on eligibility screening before evaluation can even begin.
May 13, 2022
-Tim Donnelly, CEO, and Founder
Let’s discuss where you are today, where you want to go, and how we can help you get there.
