Four focused engagements for teams with real workflow problems
Each engagement is personally led by Ariel Salem — scoped around a defined business problem with clear deliverables, a realistic timeline, and a written proposal before work begins.
Choose the path that matches your needs
AI Safe-Use Policy and Governance Assessment
1–2 weeks
A structured review of how your team is currently using AI, what risks exist, and what policies need to be in place. The output is a written acceptable-use policy, a prohibited-use inventory, escalation procedures, and an approved-tool reference — designed for organizations that need governance in place before a broader rollout.
Key outcomes
- Written AI acceptable-use policy tailored to your organization
- Prohibited-use inventory matched to your data and risk context
- Escalation and human-review procedures for high-impact outputs
AI Workflow Audit and Quick-Win Roadmap
1–3 weeks
The AI Workflow Audit identifies where AI or automation can produce meaningful value, what data and integrations are required, what should be avoided, and which pilot is worth funding first. It is scoped around a real business problem — not a technology category.
Key outcomes
- Workflow and tool inventory across key functions
- Prioritized opportunity map with impact, effort, risk, and data-readiness scoring
- Build-vs-buy recommendations with realistic effort estimates
AI Workflow Implementation and Integration
3–8 weeks
Dot AI Consulting designs and builds focused AI workflows inside the systems your team already uses, with human review, evaluation, documentation, and ownership built in. This is a working pilot or production-ready internal system — not a proof of concept that stops at the demo.
Key outcomes
- Pilot or production-ready AI workflow built and tested
- Integrations with existing tools, APIs, and data sources
- Human review and fallback paths for reliability and safety
Team AI Enablement and Safe-Use Playbook
Half-day to multi-session
Role-specific enablement sessions built around the workflows your team runs every day. Each session produces a reusable safe-use playbook — not a general AI literacy overview or motivational keynote. The goal is consistent, auditable adoption with real habits employees can follow the next day.
Key outcomes
- Role-specific sessions using your team's actual work and tools
- Safe-use playbook with approved-use, prohibited-use, and escalation rules
- Reusable prompt and process templates for recurring tasks
Your consultant: Ariel Salem
Senior AI engineer with 10+ years building production systems — including autonomous agent workflows and legal document AI at Equall.ai. You work directly with me, not an account team.
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