Published

How a $20M Services Firm Unlocked $500K

A stalled $20M services firm wired ChatGPT Enterprise, Make.com, and Claude into its operations — reclaiming 10–15 leadership hours a week and unlocking $500K in new revenue.

10–15 hrs/week

Reclaimed weekly by leadership team

2–4 months

Implementation Time

Under $25K

Project Cost

the challenge

A $20M B2B professional services firm with eight years of history appeared successful from the outside but had plateaued. Leadership was overwhelmed, client delivery was inefficient, roles were misaligned, and an estimated $300,000 per year was being lost to operational drag. Previous AI consultants had pushed unsuitable tools, leaving the team skeptical. The company knew AI might help but had no idea where to start or what foundations were missing.

what they built

Shadi applied her proprietary Strategic Growth Reset — a three-phase process combining strategic business coaching with targeted AI advisory. She began with a root-cause diagnostic that revealed the core issues were decision-making overload and misaligned roles, not technology gaps. After aligning leadership on vision and building a strategic roadmap, she introduced low-code AI tools incrementally: ChatGPT Enterprise for knowledge management and SOP documentation, Make.com for workflow automation and client insight tagging, and Claude and Perplexity for training and content extraction. The approach took three months, leveraging the client’s existing internal tech team.

Shadi Yazdan began with a root-cause diagnostic rather than a technology recommendation. Her proprietary Strategic Growth Reset framework first surfaced the firm's actual constraints: decision-making overload and misaligned roles were the source of the plateau, not a lack of AI tools. Only after leadership aligned on vision and a strategic roadmap did she introduce technology. AI tools were deployed incrementally over three months: ChatGPT Enterprise for knowledge management and SOP documentation, Make.com for workflow automation and client insight tagging, and Claude and Perplexity for training and content extraction. The rollout leveraged the firm's existing internal tech team with no custom development required. This sequencing was critical — the firm had previously been burned by AI consultants who pushed unsuitable tools, creating skepticism that had to be addressed before any technology could be introduced effectively. The result: 10–15 hours of leadership time reclaimed weekly, $500K in new revenue capacity unlocked, and an estimated $300K in annual operational drag eliminated.

best fit for

Best for owner-led B2B professional services, consulting, SaaS, FinTech, or HealthTech companies generating $3M–$50M in revenue that have hit a growth plateau, are dealing with operational bottlenecks, or are curious about AI but overwhelmed by tool choices — where the CEO and COO are still driving the business and need a trusted strategic partner, not just a technology implementer.

Ai ROLE

ChatGPT Enterprise serves as a knowledge management and SOP documentation system, enabling the firm to capture and retrieve institutional knowledge at scale. Make.com automates workflows and tags client insights without manual intervention. Claude and Perplexity support internal training and content extraction tasks, reducing the manual effort required to produce deliverables and documentation.

impact

10–15 Hours Per Week Reclaimed by Leadership

The leadership team reclaimed 10–15 hours per week by streamlining internal operations, freeing capacity for strategic priorities and growth-focused work.

Client Delivery Accelerated 30%, Margins Improved

Client delivery time was cut by 30%, directly improving profit margins at a moment when competitors were closing the gap and pricing pressure was rising.

$500K New Revenue Stream Identified

A new service offering identified during the engagement is projected to generate an additional $500,000 over the next one to two years — a direct outcome of the strategic clarity work done alongside the AI integration.

implementation complexity

The implementation used low-code tools (ChatGPT Enterprise, Make.com, Claude, Perplexity) incrementally over three months, leveraging the client's existing internal tech team with no custom development required. The primary investment was strategic diagnosis and change management, not engineering.

Shadi Yazdan

Helping Businesses Grow & Scale, Delivering 30%+ Revenue Increases with Purposeful, Targeted AI Solutions. 4x Founder with 2-exits. 2024 Most Inspirational Woman in AI. Speaker. Podcast Host.

SY Partners

4x founder with 2 exits, Shadi helps $3M+ businesses unlock growth by aligning AI with strategy. Known for a holistic, ROI-driven approach that blends AI advisory, coaching, and mindset alignment.

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Talk to this team

industry

Professional Services

business organization

Operations

Sales & Revenue

AI TYpe

Process Automation (RPA + AI)

value type

Revenue Growth

Cost Reduction

Time Savings

other(firm) Case studies

frequently asked questions

How did a mid-market professional services firm unlock $500K in new revenue with AI workforce enablement?

The expert began with a root-cause diagnostic that found the plateau came from decision-making overload and misaligned roles, not missing tools, and only then introduced AI incrementally over three months — ChatGPT Enterprise for knowledge management and SOPs, Make.com for workflow automation, and Claude and Perplexity for training and content. The work reclaimed 10–15 leadership hours a week and identified a new service projected to add $500K.

What AI tools were used in this professional services project?

The rollout used ChatGPT Enterprise for knowledge management and SOP documentation, Make.com (and Zapier) for workflow automation and client-insight tagging, and Claude and Perplexity for training and content extraction, with Notion in the stack — combining AI workforce enablement and process automation on the firm's existing internal tech team.

What results did the firm achieve?

Three outcomes: client delivery time cut by 30% with improved margins; a new service offering identified during the engagement projected to generate an additional $500,000 over one to two years; and 10–15 hours per week reclaimed by the leadership team.

How long did the AI enablement engagement take?

About four to six months overall, with the AI tools deployed incrementally over a three-month period after the strategic diagnostic and roadmap.

Who is this AI enablement approach best for?

Owner-led B2B professional services, consulting, SaaS, FinTech, or HealthTech companies generating $3M–$50M that have hit a growth plateau or operational bottlenecks and are curious about AI but overwhelmed by tool choices — where the CEO and COO still drive the business and need a strategic partner, not just an implementer.

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