Tate Digital Consultants helps organizations turn disconnected processes, repetitive work, and underutilized technology into integrated, AI-enabled operations.
Built to integrate with the systems you already run.
We connect business strategy, intelligent automation, and technical engineering to help organizations modernize workflows, reduce operational friction, and scale with confidence.
Many organizations are experimenting with ChatGPT, Claude, automation tools, and AI agents. But buying AI software or giving employees access does not necessarily improve performance. The real drag often sits in plain sight.
Executive advisory, process improvement, custom AI development, workflow engineering, and ongoing managed services, connected by a single point of accountability.
Executive readiness assessments, workflow analysis, and a prioritized roadmap for adopting AI where it matters.
Private knowledge assistants and custom agents that work from your documents and systems, with people approving what matters.
Map, redesign, and automate manual work, with exceptions handled by design rather than by heroics.
Connect CRM, ERP, databases, and legacy systems so information moves to where it is needed.
Ongoing monitoring, tuning, and support so AI solutions keep working after launch.
Fractional CMO and transformation leadership, independent vendor evaluation, and executive guidance on growth and technology investments.
Three solution concepts that show how inputs, processing, integrations, and human oversight fit together. Concepts and demonstrations, not documented deployments.
An internal AI assistant that helps employees find approved information across company documentation.
Procedures, policies, and project knowledge sit in scattered folders. People ask colleagues, guess, or work from outdated copies.
Approved documents are indexed. When someone asks a question, the assistant retrieves relevant passages, answers from them, and shows its sources. Content owners decide what the assistant may use.
Concept illustration. Not a documented client deployment.
A system that extracts, classifies, and routes information from business documents for review and processing.
Documents arrive by email, scan, and upload. Someone reads each one, retypes key details, and decides where it goes.
Incoming documents are classified and key fields extracted. Clear cases are routed automatically; unclear or high-stakes ones go to a reviewer with the extracted data alongside the original.
Concept illustration. Not a documented client deployment.
A connected solution that coordinates approved tasks across existing business systems, with human oversight.
A single business process touches several systems. People carry information and next steps between them by hand.
A defined trigger starts a workflow. Agents prepare approved steps across connected systems; anything consequential waits at an approval gate. Every action is logged for review.
Concept illustration. Not a documented client deployment.
From understanding how your business works to running the solution day to day. Select a stage to see what happens.
Understand business operations, process bottlenecks, technology systems, and strategic goals.
Develop a practical AI roadmap, prioritize opportunities, and define solution requirements.
Build custom agents, integrations, automation workflows, and supporting infrastructure.
Test solutions, support users, document workflows, and integrate with existing operations.
Monitor performance, refine solutions, and provide ongoing operational support.
Our approach brings together business strategy, technical engineering, communications, and specialized implementation expertise to deliver solutions built around real operational needs.
Buying another software tool and implementing a solution that fits your workflows are different things. We focus on the second.
We understand how work actually flows before any technology is selected.
Executives work with a senior strategist who stays accountable for solution direction.
Engineering capability to build and integrate what the strategy calls for.
Solutions connect to the systems and approvals you already have.
Goals are defined up front and measured against a baseline.
Improvement continues after launch rather than ending at one-time deployment.
Many organizations are investing in AI tools without a clear strategy for integrating them into everyday operations. This executive-focused session explores how to identify high-value AI opportunities, standardize workflows, improve adoption, and develop a practical roadmap for implementation.
Date and registration details will be announced.
Whether you're exploring AI for the first time or looking to connect existing tools and workflows, we can help you identify a practical path forward.
From executive roadmaps to custom agents, integrations, managed operations, and fractional leadership. Each practice page explains the business problem, our approach, example applications, and the types of outcomes to expect.
Executive readiness assessments, workflow analysis, and a prioritized roadmap for adopting AI where it matters.
Private knowledge assistants and custom agents that work from your documents and systems, with people approving what matters.
Map, redesign, and automate manual work, with exceptions handled by design rather than by heroics.
Connect CRM, ERP, databases, and legacy systems so information moves to where it is needed.
Ongoing monitoring, tuning, and support so AI solutions keep working after launch.
Fractional CMO and transformation leadership, independent vendor evaluation, and executive guidance on growth and technology investments.
The eleven capabilities our practices are built around, each linked to the practice that delivers it.
Executive-level marketing and growth leadership without a full-time hire: evaluating marketing investments and agency performance, sales and lead-generation systems, and where growth spending should go.
Turning priorities into a sequenced roadmap, then staying involved to see it carried out.
Documenting and standardizing how work gets done so results are consistent and automation has something stable to build on.
Lean-informed improvement of workflows, handoffs, and capacity, grounded in a measured baseline.
Designing how AI components, data, and existing systems fit together securely and sustainably.
Private assistants and multi-step agents built on your documents and systems, with human approvals.
Connecting CRM, ERP, databases, and legacy platforms so information moves where it is needed.
Small, measurable pilots that test an idea against real work before larger commitments.
Senior leadership of digital and AI transformation initiatives on a fractional basis.
Independent comparison of vendors, tools, and proposals against your requirements.
Ongoing monitoring, tuning, and support so solutions keep delivering after launch.
Start with a strategy conversation. We will tell you honestly where we can help.
Executive readiness assessments, workflow analysis, and a prioritized roadmap for adopting AI where it matters.
Turning priorities into a sequenced roadmap, then staying involved to see it carried out.
Small, measurable pilots that test an idea against real work before larger commitments.
Leadership teams feel pressure to act on AI without a clear view of where it fits, what to fix first, or how to adopt it safely. Pilots start in several places, ownership is unclear, and it is hard to tell which efforts deserve investment.
Review leadership goals, current workflows, data, and the technology you already own.
Score candidate opportunities on business value, feasibility, risk, and effort.
Select technology, define requirements, and sequence implementation around your team's capacity.
Set review practices, acceptable-use guidance, and an adoption plan so changes stick.
Applications are examples of what is possible, not descriptions of completed client projects.
We do not publish unverified performance statistics. Outcomes are defined and measured against a baseline for each engagement.
Private knowledge assistants and custom agents that work from your documents and systems, with people approving what matters.
Designing how AI components, data, and existing systems fit together securely and sustainably.
Private assistants and multi-step agents built on your documents and systems, with human approvals.
Generic AI tools do not know your policies, documents, or systems. Staff cannot verify the answers they get, and nothing prevents an assistant from acting without approval.
Choose one well-defined job and the approved sources it may use.
Prepare documents for retrieval, connect through APIs, and develop agents in Python where custom logic is needed.
Design human-in-the-loop approvals and clear escalation for anything consequential.
Evaluate against your actual questions and documents before wider rollout.
Applications are examples of what is possible, not descriptions of completed client projects.
We do not publish unverified performance statistics. Outcomes are defined and measured against a baseline for each engagement.
Map, redesign, and automate manual work, with exceptions handled by design rather than by heroics.
Documenting and standardizing how work gets done so results are consistent and automation has something stable to build on.
Lean-informed improvement of workflows, handoffs, and capacity, grounded in a measured baseline.
Work moves through email, spreadsheets, and retyping. Exceptions pile up, status lives in people's heads, and reports are rebuilt by hand.
Document how work actually flows, including handoffs and workarounds.
Remove unnecessary steps before automating what remains.
Implement focused automations and integrations, then expand.
Define what happens when data is missing, unusual, or needs a decision.
Applications are examples of what is possible, not descriptions of completed client projects.
We do not publish unverified performance statistics. Outcomes are defined and measured against a baseline for each engagement.
Connect CRM, ERP, databases, and legacy systems so information moves to where it is needed.
Connecting CRM, ERP, databases, and legacy platforms so information moves where it is needed.
Systems do not talk to each other, so people become the integration layer: copying, reconciling, and re-entering information.
Identify what each system owns and how information currently moves.
Plan APIs, database access, and data models with security and ownership in mind.
Plan legacy changes in stages rather than a disruptive replacement.
Run data flows with validation, logging, and alerts.
Applications are examples of what is possible, not descriptions of completed client projects.
We do not publish unverified performance statistics. Outcomes are defined and measured against a baseline for each engagement.
Ongoing monitoring, tuning, and support so AI solutions keep working after launch.
Ongoing monitoring, tuning, and support so solutions keep delivering after launch.
AI solutions drift, integrations break, and adoption fades once the project team moves on.
We recommend ongoing support only where there is ongoing value. Not every project requires a retainer.
Track agent and workflow behavior, failures, and usage.
Share performance in plain language, tied to the goals set at the start.
Resolve technical issues and adjust to changes in documents, systems, or processes.
Prioritize refinements and adjacent workflows as value becomes clear.
Applications are examples of what is possible, not descriptions of completed client projects.
We do not publish unverified performance statistics. Outcomes are defined and measured against a baseline for each engagement.
Fractional CMO and transformation leadership, independent vendor evaluation, and executive guidance on growth and technology investments.
Executive-level marketing and growth leadership without a full-time hire: evaluating marketing investments and agency performance, sales and lead-generation systems, and where growth spending should go.
Senior leadership of digital and AI transformation initiatives on a fractional basis.
Independent comparison of vendors, tools, and proposals against your requirements.
Leaders lack a trusted, independent voice when evaluating vendors, marketing investments, and technology decisions, and execution teams lack day-to-day executive direction. Marketing, sales, and technology spending often grows piece by piece without anyone looking at the whole picture.
Work alongside executives on priorities and decisions, in a growth role, a transformation role, or both.
Review marketing investments and agency performance, sales and lead generation, CRM and business technology, and the operations that affect growth.
Compare vendors, tools, and proposals against your requirements, with no stake in what you buy.
Decide what to continue, improve, replace, consolidate, or stop, and keep delivery aligned with goals and budget.
Applications are examples of what is possible, not descriptions of completed client projects.
We do not publish unverified performance statistics. Outcomes are defined and measured against a baseline for each engagement.
Three solution concepts showing how information moves from inputs, through processing and integrations, to outputs, with people overseeing what matters. They are concepts and demonstrations unless we say a deployment is documented.
An internal AI assistant that helps employees find approved information across company documentation.
Procedures, policies, and project knowledge sit in scattered folders. People ask colleagues, guess, or work from outdated copies.
Approved documents are indexed. When someone asks a question, the assistant retrieves relevant passages, answers from them, and shows its sources. Content owners decide what the assistant may use.
Concept illustration. Not a documented client deployment.
A system that extracts, classifies, and routes information from business documents for review and processing.
Documents arrive by email, scan, and upload. Someone reads each one, retypes key details, and decides where it goes.
Incoming documents are classified and key fields extracted. Clear cases are routed automatically; unclear or high-stakes ones go to a reviewer with the extracted data alongside the original.
Concept illustration. Not a documented client deployment.
A connected solution that coordinates approved tasks across existing business systems, with human oversight.
A single business process touches several systems. People carry information and next steps between them by hand.
A defined trigger starts a workflow. Agents prepare approved steps across connected systems; anything consequential waits at an approval gate. Every action is logged for review.
Concept illustration. Not a documented client deployment.
The questions are similar across industries; the workflows are not. Here is where we focus and the kinds of workflows we look at.
Illustrative workflow concepts, not completed client projects
Bid preparation, document handling, and project coordination involve repetitive, document-heavy work across many parties.
Sales teams juggle leads, inventory details, and customer communication across locations and systems.
Regulated, relationship-driven work with heavy administration and a need for careful human review.
Expertise is the product, and a surprising amount of time goes to assembling, formatting, and finding information.
Consistency is hard when every location has its own habits, tools, and ways of tracking work.
Particularly organizations at roughly $3 million to $50 million or more in annual revenue, though revenue alone does not determine fit. We are not limited to one industry; we focus on the operational problems they share.
Estimating and bid preparation involve document handling, scheduling, and coordination that are often repetitive. This is the kind of workflow we would examine, starting with measurement rather than assumptions.
Example workflows are illustrative and based on common patterns; results vary by company and are established only after a baseline is measured.
If your business has repetitive, document-heavy, or multi-system workflows, we can probably help you evaluate it.
Five connected stages take an engagement from understanding the business to running the solution. Select a stage to see what happens.
Understand business operations, process bottlenecks, technology systems, and strategic goals.
Develop a practical AI roadmap, prioritize opportunities, and define solution requirements.
Build custom agents, integrations, automation workflows, and supporting infrastructure.
Test solutions, support users, document workflows, and integrate with existing operations.
Monitor performance, refine solutions, and provide ongoing operational support.
Each step stands on its own. You decide how far to go, and we recommend the next step only when the last one has earned it. Fractional and advisory engagements can run alongside any stage.
A focused executive working session to uncover operational inefficiencies, identify AI opportunities, and determine practical next steps.
Initially limited, complimentaryThe AI Readiness & Operational Efficiency Assessment: workflow analysis, opportunity prioritization, estimated impact and ROI assumptions, and an implementation roadmap.
Paid engagementOnce opportunities are validated, we design, test, and implement appropriate solutions, coordinating technical specialists where the work calls for them.
Project-basedOngoing optimization, adoption support, and advisory where there is ongoing value. Not every project requires a retainer.
When there is ongoing valueWe don't start with the technology. We start with the business problem.
Discovery and architecture follow a nine-step framework influenced by Lean thinking and continuous improvement, with respect for people at the center. It is a developing framework: we apply established ideas rather than claim to have invented them.
We improve the process first, and only then ask whether AI is the right tool.
Understand how work actually happens, not how the process document says it does.
Find repetitive work, delays, handoffs, unnecessary steps, and rework.
Quantify time, costs, cycle times, errors, and capacity so improvement can be measured.
Redesign the workflow before introducing unnecessary technology.
Evaluate whether AI, automation, existing software, or a simpler process change is appropriate.
Introduce the smallest practical solution.
Measure whether the improvement delivered the intended results.
Improve adoption, training, performance, and reliability.
Identify the next constraint or opportunity.
When we determine AI fit, these are all legitimate answers:
Our approach brings together business strategy, technical engineering, communications, and specialized implementation expertise to deliver solutions built around real operational needs.
Ashley works directly with executive teams to understand how their business operates, uncover inefficiencies, develop AI transformation roadmaps, and oversee implementation. Her background spans product ownership, business analysis, process improvement, and strategic consulting, working across business and technology teams, including time on the product side of banking.
Technical delivery partner
Lane serves as our technical implementation lead and strategic engineering partner, part of our integrated delivery leadership. He oversees technical architecture, custom AI development, automation engineering, API integrations, and solution implementation.
His technical delivery team consists of approximately 20 specialists supporting different areas of engineering and implementation. Lane works with Tate Digital Consultants through our technical delivery partnership.
Kim leads communications for client engagements, keeping executives and stakeholders aligned and turning technical work into clear, practical business language.
An extended technical delivery network of approximately 20 specialists supporting custom engineering, AI development, systems integration, workflow automation, and specialized technology implementations.
Select a capability to see its function.
These tiles represent capability areas, not individual employees or job titles. The specialists are part of an extended delivery network reached through our technical delivery partnership, led on the technical side by Lane Houk. They are not all direct employees of Tate Digital Consultants, and staffing varies by engagement. We tell clients exactly who is involved in their project.
We will not invent client logos, testimonials, or results. Until engagements are complete and documented, here is what you can actually evaluate:
The Lean + AI Method is laid out in full, so you can judge the thinking before you meet us.
Growth Without Guesswork features owners and leaders explaining how their companies actually run.
Product, business analysis, and process improvement experience across business and technology teams.
As consultations and projects are completed, we will add client testimonials, documented improvements, and measurable outcomes.
Educational content for owners and executives. Articles and guides will be added here as they are published.
Many organizations are investing in AI tools without a clear strategy for integrating them into everyday operations. This executive-focused session explores how to identify high-value AI opportunities, standardize workflows, improve adoption, and develop a practical roadmap for implementation.
Date and registration details will be announced.
Conversations with owners and leaders of established companies about how they have grown, the decisions behind it, and how technology, including AI, is changing the work. Strategy. Insights. Real talk.
Current conversations include commercial construction leaders on preconstruction, estimating, and Lean. Episodes will be listed here as they publish.
Whether you're exploring AI for the first time or looking to connect existing tools and workflows, we can help you identify a practical path forward.
Describe the operational challenge in a few sentences and choose what you would like to discuss. We will follow up to talk it through.
Prefer email? officialcdt@tatedigitalgroup.com