Peak Performance
with AI for Professional Firms
It's Critical to Success
A Few of Our Past Consulting Clients and Partners:
30+ years of experience improving strategic performance in
Fortune 1000 and Global 1000 organizations
Target Strategic Objectives with
AI Systems and Optimized Workflows
Avoiding AI Pilot Purgatory and Isolated Islands of AI Productivity
Most AI efforts fail because they start with tools. Firms build scattered AI pilot programs. The result is AI Pilot Purgatory - scattered islands of AI use with no strategic impact.
The CTS ADVIS Implementation Framework™ aligns AI with your firm’s strategic objectives, identifies workflows that drive those objectives, builds a scaffold of AI to ROI Sprintstm, then builds a strategic workflow with data, human-in-the-loop monitoring, and governance.
Your professionals and staff learn to:
- Identify workflows that drive strategic objectives
- Diagnose, validate, build and test using AI to ROI SprintstmÂ
- Test and implement AI Sprints using a proven framework
- Integrate Sprints into a beginning-to-end strategic AI workflow
- Implement so you reinforce governance, risk management, roles, metrics, and more.
Instead of saying:
“We’re experimenting with AI tools…”
You can say:
“Here’s what we've implemented,
here's why it works, and
these are the measurable results.”
AI Implementation Workshops for Impact
Workshops that use real business problems have 200% retention and adoption over online training *
AI Implementation Workshops use hybrid learning* to "Teach, Do, Review." We use real-world workflows and guide your teams through AI Sprints to develop real AI solutions.
Your teams learn to develop and implement solutions in a framework that incorporates AI into your firm's operating model.Â
AI Implementation Workshops for departments and functional teams are available for marketing, sales, finance, human resources, executive functions, and staff.
AI Implementation Workshops can also be tailored for your employees to align with your strategic objectives, workflows, and data.
* World-leading universities like MIT, Stanford, and Harvard use hybrid workshops in their professional programs. Multiple studies have shown that hybrid workshops with real-world projects achieve 2X retention and adoption over courses.Â
Why This Works
Most AI efforts fail because they focus on tools and random experiments.
The result is chaos with no impact on strategic objectives. It's AI Pilot Purgatory.Â
Most AI efforts fail because they focus on tools and random experiments (AI Pilot Purgatory) instead of working on workflows that impact strategic objectives and using proven implementation frameworks.
The CTS AI Implementation Framework™ works because:
- It begins with strategic business objectives - not technology
- It identifies the most important workflow(s) that drive strategic results
- It identifies the tasks and optimizes bottlenecks in those workflows
- It jumpstarts development using a library of robust mega-prompts
- It develops sets of AI prompts and agents that create an AI system that can be monitored
- It identifies the ecosystem that supports AI - the owner, data, metrics, roles, risks, responsibilities, and more with a management system that reinforces the AI workflow
- It scales the entire AI workflow and integrates it with your firm's operating model
What You Can Expect
When AI is implemented with the CTS ADVIS Implementation Framework™ you can expect:
- Measurable impact on ROI and strategic objectives
- Rapid development and testing using AI to ROI SprintsÂ
- Implementation and adoption that builds a foundation of AI innovation
- Scaling of reusable systems to multiple departments and domains
You don’t want to increase AI.
You want to increase ROI.
When You Implement AI You...
Improve Performance
Align AI with your strategic workflows to improve your strategic performance.Â
Increase Productivity
Eliminate repetitive work and use AI to increase client engagement and expand market share.
Create Advantage
Most professional firms are experimenting - only a few have built a competitive moat with AI.
Why AI Implementation Workshops?
Hybrid Instruction
Hybrid workshops, used by MIT & Stanford, combine live training, real-world problems, and asynchronous support.
Immediate Application
Two-week AI Sprints build working AI systems your firm can immediately use.
2X Retention & Adoption
Research shows learning by solving real-world problems produces 2X retention and adoption.
ADVIS Stages in AI Implementation
The CTS ADVIS Implementation Framework™ guides your teams through five ADVIS stages, from identifying performance objectives to firm-wide scale.Â
With consulting from CTS we can guide your leadership and functional teams through the entire AI implementation process, from ALIGN, identifying objectives, to SCALE, scaling and modifying systems to multiple departments or domains.
With the AI Implementation Workshops, your department or team learns best practices in developing AI prompts and agents as they simultaneously build a management system that includes governance, risk, ownership, data, human-in-the-loop, and metrics management systems.
Workshops incorporate two-week AI Sprints that develop working AI stages. At the end of the workshop all AI stages are integrated into an end-to-end workflow that includes governance, risk, ownership, data, human-in-the-loop, and metrics management.
The ADVIS AI Implementation Framework follows five stages:
ALIGN drivers, workflows, data, and ownership with strategic objectives
DIAGNOSEÂ workflows, data, metrics, human-in-the-loop and potential for impact, then create a hypothesis of how to improve performance
VALIDATE the AI system and optimized workflow by testing the hypothesis in a controlled work environmentÂ
IMPLEMENT  the improved system in a real work environment with real workforce and real business scenarios Â
SCALE proven systems into other departments or domains throughout the firm
ALIGN
ALIGN identifies where AI can create the greatest strategic value by aligning AI with the firm’s strategic objectives, workflows, and measurable operations.
- Defines the strategic objectives AI must support
- Identifies high-value workflows that drive performance
- Prioritizes AI opportunities using business impact and feasibility
- Establishes success metrics tied to productivity, quality, and ROI
- Creates a roadmap for focused AI pilots and implementation
- Reduces scattered experiments and “AI pilot purgatory”
DIAGNOSE
DIAGNOSE...
- Selects high-impact workflows for pilot testing
- Defines clear business hypotheses and success metrics
- Tests AI in real work with real users and real outputs
- Measures productivity, quality, adoption, and financial impact
- Identifies governance, risk, data, and training requirements
- Creates scale-or-stop evidence before wider implementation
- Builds leadership and team confidence through proof of value
VALIDATE
VALIDATE...
- Standardizes AI workflows for repeatable use
- Defines and establishes data structures
- Builds shared prompt libraries, templates, SOPs, and knowledge assets
- Establishes governance, security, review, and risk controls
- Expands adoption through department and functional team workshops
- Measures adoption, workflow usage, ROI, and business impact
- Prevents tool sprawl, inconsistent results, and stalled pilots
- Turns AI from isolated projects into firm-wide operating assets
IMPLEMENT
IMPLEMENT turns proven AI pilots into operational systems by integrating AI workflows, training teams, and embedding AI into your firm's professional work.
- Moves AI from a controlled environment with skilled operators into daily professional work
- Evaluates system and human-in-the-loop performance
- Optimizes workflows and integrates AI systems
- Builds reusable prompts, agents, workflows, and SOPs
- Integrates AI into research, analysis, marketing, sales, documentation, and client delivery
- Increases use and adoption with workshops instead of generic tool training
- Defines review, quality control, and ownership responsibilities
SCALE
SCALE expands successful AI systems and workflows into other domains and functional teams.
- Optimizes AI systems and workflows for repeatable use
- Defines and establishes data structures
- Builds shared prompt libraries, templates, SOPs, and knowledge assets
- Establishes governance, ownership, data, and risk controls
- Expands adoption through department and functional team workshops
- Prevents tool sprawl, inconsistent results, and stalled pilots
- Turns AI from isolated projects into firm-wide operating assets