Recommended
Custom AI Workshop
Best for teams that need shared language, role-specific examples, and practical use cases people can recognize in their own work.
AI Consulting for Execution
Turn AI ideas into practical workflows, better decisions, and usable systems.
We help teams identify where AI actually fits, what to prioritize, and what to build next.
Fit check
find the smartest first move
Workflow lens
connect goals, constraints, handoffs, and AI fit
Usable outputs
maps, blueprints, memos, workshops, and systems
Tailored Workflow Optimizer
Step 1: Discover Friction
Identify operational bottlenecks & redundant tasks
Step 2: Map to Practical Use Case
Fit appropriate LLM, agentic system, or API automation
Step 3: Measure Business Outcome
Quantified hours saved and operational speedups
The Intellegen workflow lens
Work backward before you automate.
Every engagement starts with the same question: what outcome matters, what constraints shape the work, and where AI actually belongs.
- 01 Goal What outcome actually matters?
- 02 Constraints What tools, data, policies, and risks shape the work?
- 03 Workflow Where do delays, handoffs, and decisions happen?
- 04 AI fit Is this a prompt, process, agent, or full system?
- 05 Next step What should happen now, later, or not at all?
Choose your starting point
Choose your starting point.
Different teams need different first steps. Pick the situation closest to yours.
Most teams do not need more AI enthusiasm. They need better workflow decisions.
AI usually fails at the workflow level: unclear priorities, poor fit, scattered experiments, and no clear path from idea to execution.
Intellegen helps teams work backward from goals, constraints, and operating reality to make better decisions about where AI belongs.
Services
Five ways to turn workflow uncertainty into useful AI execution.
Each offer starts from the same workflow lens, then adapts to what your team needs most: alignment, prioritization, workflow design, systems build, or leadership clarity.
Custom AI Workshops
Tailored sessions built around your team’s actual workflows, tasks, and constraints so people leave with relevant examples—not abstract tool demos.
- Pre-work interviews and workflow review
- Hands-on exercises using real scenarios
- Shared prompt patterns, tool ideas, and team playbook
AI Opportunity Assessment
A focused review of your workflows, bottlenecks, and business goals to rank the AI use cases most worth pursuing now, later, or not at all.
- Workflow audit and operator interviews
- Data, risk, effort, and integration review
- Ranked backlog with pilot recommendations
AI Workflow Review
Design support for automations, copilots, and human-in-the-loop workflows that need to fit existing systems, validation rules, and operational reality.
- Trigger, data, and validation design
- Human handoffs and failure-mode planning
- Implementation requirements and handoff notes
Strategic Advisory
Ongoing guidance for leaders making decisions about AI priorities, vendors, governance, implementation paths, and execution risk.
- Vendor, stack, and roadmap review
- Governance, privacy, and risk guidance
- Executive memos and decision support
AI Systems Design & Build
For companies that need a complete AI solution, from concept and architecture through prototype or production-oriented implementation.
- Custom and generic AI systems built around real workflows
- Agentic, workflow-driven, and decision-support applications
- Usable software, prototype, or implementation path
Methodology
A practical process from discovery to action.
Each engagement moves from workflow understanding to prioritized next steps your team can actually use.
01
Discover
Map workflows, goals, tools, data constraints, and repetitive friction.
02
Prioritize
Score use cases by value, feasibility, risk, and speed to adoption.
03
Tailor
Design workshops, prompts, workflows, or advisory outputs around your context.
04
Activate
Leave your team with artifacts, owners, and next-step implementation guidance.
Before
Manual handoffs
Email queue
Spreadsheet copy
Manager review
CRM update
After
Validated pipeline
Intake
Classify
Validate
Handoff
Outputs & Proof
What the workflow lens produces.
Engagements are designed to produce usable artifacts, not just conversations. Each output connects a real workflow to business value, implementation constraints, and the next decision your team needs to make.
Opportunity Map
Prioritization
Ranked AI Opportunity Map
Scores AI use cases by value, effort, risk, and readiness so priorities are easier to defend.
- Compares candidate use cases
- Separates now, later, and not-at-all ideas
Business value: Better pilot choices before time and budget are committed.
Workflow Blueprint
Implementation clarity
Workflow Blueprint
Maps triggers, validations, handoffs, and system updates before build decisions are made.
- Shows where AI and human review fit
- Clarifies implementation requirements
Business value: Fewer assumptions before build.
Workshop Assets
Team adoption
Role-Specific Workshop Assets
Turns attendee roles and recurring work into practical AI examples, prompts, and workflow ideas.
- Tailored examples by role
- Shared language for adoption
Business value: Faster alignment than generic training.
Decision Memo
Leadership clarity
Executive AI Decision Memo
Summarizes which AI bets to pursue, delay, or avoid before pilots, vendors, or internal builds.
- Frames decisions in business terms
- Connects opportunity, risk, and execution tradeoffs
Business value: Better decisions before resources are committed.
Representative workflows
Examples of practical AI systems shaped around real work.
Examples of how Intellegen AI helps teams reduce manual work, improve decisions, and speed up execution across operations, reporting, and AI workflow design.
ERP + Operations Planning
Challenge
Purchasing and inventory decisions depended on daily manual review of dense ERP and purchase-order data.
What changed
A decision-support layer helped planners compare purchasing options, inventory tradeoffs, EOQ-style logic, and what-if scenarios.
Outcome
Faster replenishment review, clearer tradeoff analysis, and less repetitive manual scanning.
Marketing + Reporting Automation
Challenge
Analysts spent too much time pulling, cleaning, and assembling campaign data from multiple reporting sources.
What changed
Reporting preparation was automated so analysts could focus on interpretation, recommendations, and client-ready narratives.
Outcome
Less manual report production and more time for insight selection.
BPO + Voice Workflow Orchestration
Challenge
New voicebots and client workflows took months to configure before large campaigns could go live.
What changed
A proof of concept introduced natural-language workflow creation with reusable skills, simulations, and guided testing.
Outcome
Shorter launch cycles, less internal build dependency, and faster time to revenue.
Founder
Work directly with Gilbert Mizrahi on practical AI adoption.
Gilbert Mizrahi is the founder of Intellegen and a hands-on systems strategist focused on practical AI adoption. He helps teams identify the right use cases, design reliable workflows, and move from promising demos to systems that support real business decisions.
Stanford MS
Operations Research background applied to prioritization and decision systems.
Decision Systems
Experience building systems for DoD, NASA, and national data infrastructure.
Get Started
Request a 30-minute fit check
Share a little context, then choose a time on the next page.
Free initial fit check
Choose a time immediately after submitting
Even if it is not a fit, you leave with a clearer starting point