Evaluate
Map the current workflow, tools, data sensitivity, and where AI could realistically help.
Specialized Advisory / AI Adoption / Business Workflows
Agentic Workflows
A customized advisory engagement for companies that want to use AI and LLM tools in real daily work without losing control of quality, data, or judgment.
- Customized
- Ongoing advisory
- Company-wide
- Hands-on
Advisory Premise
No single advisory plan works perfectly for every real company.
Agentic Workflows is not a fixed program. Every business has different tools, data sensitivity, risk tolerance, and comfort with new technology. The engagement starts with an evaluation, and then the advisory is adapted to the company.
01 / How It Works
From your current workflow to a safer way of working.
Customize
Choose the right depth, examples, and exercises for the leadership, staff, and workflows involved.
Practice
Work through real business tasks with explicit boundaries, verification habits, and judgment calls.
Apply
Turn the engagement into a practical routine the company can keep running after the sessions end.
Evaluation Map
Before engaging, we map the workflow.
Current tools, software, and daily workflowRepetitive or time-consuming manual tasksData sensitivity, access boundaries, and confidentiality needsStaff AI literacy and comfort level with new toolsDecisions suited for automation versus human judgmentCompliance, privacy, and industry-specific constraints
02 / Engagement Options
Different companies need different depth.
Assessment
A one-time evaluation of your current tools, workflow, and data handling, with a clear AI readiness and risk map.
Ongoing Advisory
Recurring sessions that guide leadership and staff as AI adoption grows, reviewing new tools, risks, and results.
Embedded Support
Hands-on support integrating AI tools into daily operations, with direct involvement during rollout.
03 / Core Topics
Practical AI usage for everyday work.
The advisory focuses on the practical reality under the headline: which tool, prompt, and level of trust is appropriate for the task in front of you.
Choosing the right AI tool for a taskPrompting clearly and verifying the outputData privacy and confidentiality basicsWhere AI genuinely helps versus where it misleadsHuman review and accountability for AI-assisted workCost, time, and quality trade-offsFitting AI into existing tools: email, docs, spreadsheets, CRMWhat works in demos versus daily use
Hands-on Exercise
Bring one real workflow.
We define its tools, data boundaries, success criteria, and verification steps together.
04 / Deliverables
Leave with something the team can use.
An AI readiness and risk map for the selected workflow.
Recommended tools, access boundaries, and usage guidelines.
A team-specific AI workflow with success and failure conditions.
A practical checklist for verifying AI output before it is used.
A prioritized adoption plan for what the team should try next.
05 / Engagement Format
The shape follows the company.
- Delivery
- Live, company-based sessions
- Shape
- Focused engagement or ongoing advisory program
- Audience
- Whole company, leadership, or a specific department
- Starting point
- One real workflow the company wants to evaluate
Advisor
Payam Saderi
DevOps and platform engineer with a long relationship with Linux, production systems, automation, and the discipline of keeping systems understandable under pressure.
The advisory connects practical AI tool use with everyday business workflows, data habits, and realistic decision-making.
About Payam06 / FAQ
Before the first conversation.
Do we need any technical background?
No. The advisory is built for non-technical companies and explains everything in plain, practical terms tied to your own work.
Is the engagement tied to a specific AI tool or provider?
No. The advisory is vendor-neutral and uses the tools that are actually relevant and available to your company.
Is our data used to train any model?
No. The advisory does not require sharing sensitive data, and any exercises can use a representative example instead.
Can we start with an assessment before committing to ongoing advisory?
Yes. Most engagements begin with a one-time assessment, and move to ongoing advisory or embedded support only if it is a good fit.
Can the engagement use our existing tools and workflow?
Yes. The evaluation exists to adapt the advisory to your tools, data handling needs, and daily operating constraints.
Is implementation included?
The engagement focuses on advisory and workflow design. Any longer-term rollout or hands-on implementation work is scoped separately.
Discovery Call
Start with a short evaluation conversation.
Bring one workflow your company is considering handing to an AI tool. The first conversation is used to understand its scope, data sensitivity, verification needs, and the right engagement depth.
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