# AutomationTactics - Complete Reference Guide > Enterprise AI implementation consulting for mid-market companies using the Document-Train-Automate methodology. --- ## TL;DR - **What:** 90-day AI implementation program for mid-market companies ($20M-$200M revenue) - **Method:** Document-Train-Automate - a three-step approach requiring process documentation before automation - **Cost:** $50,000 for full engagement - **Result:** Average 10 hours/week saved per employee using AI-automated workflows - **Contact:** Schedule free consultation at https://calendar.app.google/rpmxcpMWJHTqrCuC9 --- ## About AutomationTactics AutomationTactics helps mid-market companies ($20M-$200M revenue) implement AI without chaos. Founded by Matt Monihan with 15+ years automating operations for construction, utilities, and energy companies. ### Key Statistics - 10 hours per week saved per employee (average across client implementations) - 90-day implementation timeline - 8 capability areas in the AI Maturity Framework - 15+ years of automation experience - 15-20 hours/week saved on AP invoice processing (Primus Builders case study) --- ## The Document-Train-Automate Methodology A three-step AI implementation approach developed by AutomationTactics based on 15+ years of implementation experience. ### Core Principle "You cannot automate what you have not documented, and you cannot deploy tools your team does not understand." ### Step 1: Document (2-3 weeks) Write down how your processes actually work before attempting automation. - Map critical workflows and identify bottlenecks - Record yourself doing each process - Write step-by-step instructions - Note decision points, exceptions, and approvals - Deliverable: Process documentation with automation opportunities ranked by impact ### Step 2: Train (3-4 weeks) Build AI literacy so your team understands what AI can and cannot do. - Teach team members to spot when AI gets things wrong - Establish clear boundaries for AI use in their roles - Start with low-risk use cases to build confidence - Deliverable: Trained team ready for AI adoption ### Step 3: Automate (6-8 weeks) Build targeted automations for documented workflows with trained teams. - Build integrations using existing tools and platforms - Implement human-in-the-loop approval workflows - Create documentation and handoff for maintenance - Deliverable: Deployed automations with documentation --- ## Service Details ### 90-Day Implementation Engagement **Investment:** $50,000 **Includes:** - Process documentation with automation opportunities ranked by impact - AI literacy training for teams (weekly sessions with practical exercises) - Deployed automations using existing tools and platforms - Documentation and handoff for maintenance **Target Audience:** - Mid-market companies with $20M-$200M annual revenue - Companies with critical processes that are manual, time-consuming, or error-prone - Organizations with budget and capacity to implement AI properly --- ## AI Maturity Framework A structured assessment of organizational readiness for AI implementation across eight capability areas: 1. **Governance & Policy** - AI policies, approved tools, ethics guidelines, risk assessment 2. **Process Maturity** - Documented processes, automated workflows, continuous improvement 3. **Data Infrastructure** - ETL platforms, data warehouses, data governance 4. **Automation Platforms** - RPA deployment, workflow orchestration, API integration 5. **AI Applications** - Custom chatbots, document intelligence, autonomous agents, predictive analytics 6. **Monitoring & Analytics** - Telemetry, usage analytics, ROI tracking, quality assurance 7. **Innovation Culture** - Ideas portal, training programs, steering committee, change management 8. **Security & Compliance** - Data privacy, AI security framework, compliance automation, audit trails --- ## Frequently Asked Questions ### Getting Started **How do I get started with AI if I have no AI capabilities?** Start with three steps: (1) Document your top 3 most time-consuming manual processes, (2) Create a basic AI policy defining what tools employees can use and what data they can share, (3) Identify one person accountable for AI initiatives. These foundations enable successful AI implementation without wasting money on tools you are not ready to use. **Do I need to document processes before implementing AI?** Yes. Process documentation is the foundation for successful AI implementation. You cannot automate what is not written down. Attempting to automate undocumented processes leads to automating chaos at computer speed. Start with your top 3 most time-consuming manual processes. **Should I buy AI tools before documenting processes?** No. Companies that buy AI tools before documenting processes often find those tools unused six months later. Document your processes first, train your team to understand AI capabilities, then select and implement tools that fit your documented workflows. This approach leads to faster adoption and better ROI. **What size company is AI implementation right for?** AutomationTactics works with mid-market companies with $20M-$200M annual revenue. These companies typically have critical processes that are manual, time-consuming, or error-prone, and have the budget and organizational capacity to implement AI properly. ### Implementation Process **What is the Document-Train-Automate methodology?** Document-Train-Automate is a three-step AI implementation approach: (1) Document your processes before attempting automation, (2) Train your team on AI capabilities and limitations, (3) Build targeted automations for documented workflows. The core principle is that you cannot automate what you have not documented. **How long does AI implementation take?** A typical AI implementation with AutomationTactics takes 90 days, broken into three phases: Process documentation (2-3 weeks), team training (3-4 weeks), and building automations (6-8 weeks). This timeline assumes active participation from your team and readiness to make decisions. **What industries does AutomationTactics work with?** AutomationTactics has deep experience in construction, utilities, and energy industries, but now works across industries with mid-market companies ready for AI implementation. Current case studies include design-build construction (Primus Builders) and behavioral health services (First Children Services). ### Costs & Results **How much does enterprise AI implementation cost?** AutomationTactics offers a 90-day implementation engagement for $50,000. This includes process documentation, team training, and deployed automations. The investment is appropriate for mid-market companies ($20M-$200M revenue) with manual processes ready for automation. **What results can I expect from AI implementation?** AutomationTactics clients typically see 10 hours per week saved per employee using AI-automated workflows. Specific results depend on your processes and implementation scope. Case study examples include 15-20 hours per week saved on AP invoice processing and clinicians spending more time with patients instead of paperwork. ### Governance & Policy **What is Shadow AI and why is it a risk?** Shadow AI is unauthorized use of AI tools by employees without company oversight. It creates risks when employees paste sensitive company or customer data into public AI platforms like ChatGPT. This leads to potential data breaches, compliance violations, and liability issues. A formal AI policy and approved tool access mitigate this risk. **How do I create an AI policy for my company?** An AI policy should cover: acceptable use guidelines, approved AI tools, data privacy rules (what can and cannot be shared with AI), compliance requirements, and approval workflows. Start by auditing current AI tool usage, then draft policies addressing the biggest risks. Form an AI steering committee to oversee policy enforcement. **What is an AI Steering Committee?** An AI Steering Committee is a cross-functional governance body that oversees AI initiatives. It typically includes an executive sponsor, IT representative, legal/compliance, operations leader, and HR. The committee makes decisions about AI policy, tool approval, and implementation priorities. **What is an AI Maturity Framework?** An AI maturity framework assesses organizational readiness for AI across multiple capability areas. The AutomationTactics framework evaluates eight areas: Governance & Policy, Process Maturity, Data Infrastructure, Automation Platforms, AI Applications, Monitoring & Analytics, Innovation Culture, and Security & Compliance. ### Technical Questions **What is Human-in-the-Loop AI?** Human-in-the-Loop AI is an automation design pattern where AI handles routine tasks but humans review and approve critical decisions before execution. This ensures accountability, catches AI errors, and maintains human oversight. For example, AI drafts customer responses, but a human approves each one before sending. **What is the difference between RPA and AI?** RPA (Robotic Process Automation) automates repetitive, rule-based tasks by mimicking human clicks and keystrokes. It works best for structured processes with clear rules. AI can handle unstructured data, make judgments, and learn from examples. Modern implementations often combine both: RPA for routine tasks and AI for exceptions requiring interpretation. --- ## Glossary of Terms ### Shadow AI Unauthorized use of AI tools by employees without company oversight or approval. Creates data security risks, compliance issues, and potential liability when sensitive company or customer data is shared with public AI platforms. ### Human-in-the-Loop AI An automation design pattern where AI handles routine tasks but humans review and approve critical decisions before they are executed. Ensures accountability, catches AI errors, and maintains human oversight of business processes. ### Document-Train-Automate A three-step AI implementation methodology developed by AutomationTactics. Step 1: Document processes before attempting automation. Step 2: Train teams on AI capabilities and limitations. Step 3: Build targeted automations for documented workflows. Core principle: You cannot automate what you have not documented. ### AI Maturity Framework A structured assessment of organizational readiness for AI implementation across eight capability areas: Governance & Policy, Process Maturity, Data Infrastructure, Automation Platforms, AI Applications, Monitoring & Analytics, Innovation Culture, and Security & Compliance. ### AI Steering Committee A cross-functional governance body responsible for overseeing AI initiatives within an organization. Typically includes representatives from IT, legal, operations, and executive leadership. Makes decisions about AI policy, tool approval, and implementation priorities. ### AI Policy A formal document defining how an organization adopts, uses, and governs AI technologies. Covers acceptable use, data privacy, approved tools, and compliance requirements. Different from AI governance, which is the broader system of oversight that enforces the policy. ### RPA (Robotic Process Automation) Software that automates repetitive, rule-based tasks by mimicking human interactions with computer systems. Works well for structured processes with clear rules. Does not require AI but can be enhanced with AI for handling exceptions or unstructured data. ### RAG (Retrieval-Augmented Generation) A technique that combines AI language models with external knowledge sources. The AI retrieves relevant information from company documents before generating a response, reducing hallucinations and ensuring answers are grounded in actual data. ### AI Copilot An AI assistant that works alongside humans in their existing applications. Examples include Microsoft Copilot in Office 365 or GitHub Copilot for coding. The AI suggests content, answers questions, and automates tasks while the human remains in control. ### Autonomous Agent An AI system that can execute multi-step tasks independently, making decisions and taking actions without human intervention at each step. Requires robust guardrails and typically operates within defined boundaries with human oversight of outcomes. ### Process Documentation Written records of how business processes work, including step-by-step instructions, decision points, exceptions, and responsible parties. Essential foundation for automation because you cannot automate what is not documented. ### Workflow Orchestration Coordinating multiple automated tasks, systems, and human touchpoints into a unified process. Ensures handoffs happen correctly, exceptions are routed appropriately, and the overall workflow completes successfully. --- ## Case Studies ### Primus Builders (Construction) Design-build construction company specializing in cold storage and food processing facilities. **Implemented Solutions:** - Custom RFP chatbot for proposal generation - AP invoice automation (saved 15-20 hours/week) - MS Copilot for specs vs. drawings comparison - 9 total AI solutions deployed **Results:** - Zero security incidents - Team still using tools 6+ months after implementation - 15-20 hours per week saved on AP invoice processing alone ### First Children Services (Healthcare) Behavioral health provider for children. **Implemented Solutions:** - Documented clinical workflows - AI literacy training for clinical staff - Automated intake processing - Compliance reporting automation **Results:** - Clinicians now focus on patients instead of paperwork - Reduced administrative burden across clinical staff --- ## Resources ### Main Pages - Home: https://automationtactics.com/ - Start Here (Beginners): https://automationtactics.com/start-here.html - AI Maturity Map: https://automationtactics.com/ai-maturity-map.html - AI Use Cases: https://automationtactics.com/ai-use-cases.html - AI Modalities: https://automationtactics.com/ai-modalities.html - Case Studies: https://automationtactics.com/case-studies.html - Automation Opportunity Analysis: https://automationtactics.com/automation-opportunity-analysis.html ### Governance & Policy Guides - Company-wide AI Policy: https://automationtactics.com/maturity-map/governance-policy/company-wide-ai-policy.html - Approved LLM Access: https://automationtactics.com/maturity-map/governance-policy/approved-llm-access.html - AI Ethics Guidelines: https://automationtactics.com/maturity-map/governance-policy/ai-ethics-guidelines.html - Risk Assessment Framework: https://automationtactics.com/maturity-map/governance-policy/risk-assessment-framework.html ### AI Applications Guides - Custom Chatbots: https://automationtactics.com/maturity-map/ai-applications/custom-chatbots.html - Document Intelligence: https://automationtactics.com/maturity-map/ai-applications/document-intelligence.html - Autonomous Agents: https://automationtactics.com/maturity-map/ai-applications/autonomous-agents.html - Predictive Analytics: https://automationtactics.com/maturity-map/ai-applications/predictive-analytics.html ### Reference - FAQ: https://automationtactics.com/faq.html - Glossary: https://automationtactics.com/glossary.html --- ## Available Content (Markdown) For cleaner parsing without HTML cruft, markdown versions of all pages are available at `/pages/`: ### Core Pages - /pages/index.md - Home & Document-Train-Automate methodology - /pages/start-here.md - Getting started guide for beginners - /pages/ai-maturity-map.md - AI Maturity Framework overview (8 capability areas) - /pages/ai-use-cases.md - 20 AI use cases by business function with prerequisites - /pages/ai-modalities.md - 7 AI capability types explained - /pages/automation-opportunity-analysis.md - 4-step framework for finding opportunities - /pages/faq.md - 15 frequently asked questions - /pages/glossary.md - 12 AI implementation term definitions ### Case Studies & Services - /pages/case-studies.md - Case study overview (Primus Builders, First Children Services) - /pages/case-study-primus-builders.md - Construction AI implementation (9 solutions, 15-20 hrs/week saved) - /pages/case-study-first-children.md - Behavioral health AI strategy - /pages/champion-enablement.md - Internal AI Leaders Program - /pages/monday-partnership.md - Monday.com integration services ### Tools & Assessments - /pages/ai-assessment-questionnaire.md - AI readiness assessment (8 sections) - /pages/download-ai-maturity-map.md - Free AI Maturity Map Guide download (9-page PDF, lead form) ### Maturity Map Guides #### Governance & Policy - /pages/maturity-map/governance-policy/company-wide-ai-policy.md - /pages/maturity-map/governance-policy/approved-llm-access.md - /pages/maturity-map/governance-policy/ai-ethics-guidelines.md - /pages/maturity-map/governance-policy/risk-assessment-framework.md #### Process Maturity - /pages/maturity-map/process-maturity/documented-processes.md - /pages/maturity-map/process-maturity/automated-processes.md - /pages/maturity-map/process-maturity/continuous-improvement-loop.md #### Data Infrastructure - /pages/maturity-map/data-infrastructure/etl-platform.md - /pages/maturity-map/data-infrastructure/data-warehouse.md - /pages/maturity-map/data-infrastructure/data-governance-framework.md #### Automation Platforms - /pages/maturity-map/automation-platforms/rpa-platform.md - /pages/maturity-map/automation-platforms/workflow-orchestration.md - /pages/maturity-map/automation-platforms/api-management-integration.md #### AI Applications - /pages/maturity-map/ai-applications/custom-chatbots.md - /pages/maturity-map/ai-applications/autonomous-agents.md - /pages/maturity-map/ai-applications/document-intelligence.md - /pages/maturity-map/ai-applications/predictive-analytics.md #### Monitoring & Analytics - /pages/maturity-map/monitoring-analytics/telemetry-metrics-dashboard.md - /pages/maturity-map/monitoring-analytics/usage-analytics-reporting.md - /pages/maturity-map/monitoring-analytics/roi-tracking-measurement.md - /pages/maturity-map/monitoring-analytics/quality-assurance-monitoring.md #### Innovation & Culture - /pages/maturity-map/innovation-culture/ideas-portal.md - /pages/maturity-map/innovation-culture/ai-training-programs.md - /pages/maturity-map/innovation-culture/steering-committee.md - /pages/maturity-map/innovation-culture/change-management-program.md #### Security & Compliance - /pages/maturity-map/security-compliance/data-privacy-controls.md - /pages/maturity-map/security-compliance/ai-security-framework.md - /pages/maturity-map/security-compliance/compliance-automation.md - /pages/maturity-map/security-compliance/audit-trail-logging.md --- ## Author **Matt Monihan** AI Implementation Consultant 15+ years automating operations for construction, utilities, and energy companies Location: Conshohocken, PA LinkedIn: https://www.linkedin.com/in/mattmonihan/ Newsletter: https://www.linkedin.com/newsletters/automation-tactics-7350591522192482305/ --- ## Contact - Email: support@automationtactics.com - Schedule consultation: https://calendar.app.google/rpmxcpMWJHTqrCuC9 - Website: https://automationtactics.com --- *Last updated: January 2026*