AI Strategy & Intelligence
AI strategy that leads to execution, not a slide deck
Markosh helps you identify where AI can improve operations, product delivery, sales, research, automation, and decision-making — then turns that strategy into an execution roadmap your team can actually implement.
01 — Deliverables
What you walk away with
- AI Opportunity Map
- A prioritized list of where AI can create value across operations, product, engineering, support, sales, and internal workflows.
- Workflow Automation Map
- A breakdown of manual workflows, repetitive tasks, handoffs, data sources, bottlenecks, and automation opportunities.
- AI Readiness Assessment
- A review of data quality, tools, systems, security needs, team skills, and implementation complexity.
- Use Case Prioritization
- A ranked list of AI opportunities based on business value, technical feasibility, data readiness, time-to-impact, and risk.
- Implementation Roadmap
- A 30/60/90-day plan showing what to build, automate, test, integrate, or staff first.
- Build vs. Buy Recommendation
- Guidance on off-the-shelf AI tools, custom development, internal automation, or a hybrid model.
- AI Sales Intelligence Plan
- For revenue teams: ICP research, account scoring, lead prioritization, CRM cleanup, and sales workflow automation.
- Team & Resourcing Plan
- The roles needed to execute — AI/ML engineer, automation engineer, data engineer, workflow analyst, sales researcher, and more.
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Deliverable 02
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02 — Engagements
Four ways to start
From a focused audit to an ongoing AI operating rhythm. Each engagement builds on the one before it.
-
AI Intelligence Audit
Understand where AI can help before committing to a build.
- Business goal review
- Workflow discovery
- AI opportunity map
- Tool and data review
- Risk and feasibility notes
- Next-step roadmap
-
AI Strategy Roadmap
A detailed plan for AI adoption across the business.
- Stakeholder interviews
- Workflow mapping
- Use-case prioritization
- Build/buy/integrate recommendations
- 30/60/90-day execution roadmap
- Suggested team structure
-
AI Implementation Sprint
Move from strategy into execution with a working system.
- AI prototype or automation sprint
- Workflow automation
- LLM integration
- Agentic workflow design
- Testing and documentation
- Handoff or managed delivery
-
AI Operating System Retainer
Ongoing AI improvement with a standing execution partner.
- Monthly AI roadmap updates
- Automation backlog management
- Workflow optimization
- AI tool evaluation
- Team enablement
- Implementation support
03 — Fit
Who this is for
A strong fit if you are
- B2B companies with manual workflows
- SaaS, agencies, and professional services
- Staffing and recruiting firms
- Operations-heavy companies with fragmented tools and data
- Teams that want an AI roadmap before investing in development
- Companies that may later need AI developers or automation specialists
Probably not a fit if you are
- Looking for vague AI inspiration only
- Expecting instant full automation
- No access to process owners
- Unwilling to share workflow or data context
- Want "AI" as branding without a real business problem
04 — FAQ
Frequently asked questions
What is AI Strategy & Intelligence?
A practical strategy service that helps companies identify where AI can create value, which workflows can be automated, what data is needed, and what execution roadmap should come first.
Is this a workshop or a consulting deck?
Neither. Every engagement produces working documents — opportunity maps, prioritized use cases, and a 30/60/90-day roadmap — designed to be executed, not filed away.
Can Markosh also implement the strategy?
Yes. Unlike pure consultants, Markosh provides the engineers, AI specialists, automation experts, and operators needed to execute the roadmap — through implementation sprints or managed delivery.
Do we need clean data before starting?
No. The readiness assessment reviews your data quality and tools as part of the audit, and the roadmap accounts for whatever gaps we find.