AI strategy, implementation, and training for small and midsize teams
Turn scattered AI experiments into systems your team can use.
Dot AI Consulting identifies high-value workflows, connects AI to the tools and data your company already uses, and trains your team to adopt it safely.
Free 30-minute conversation. Founder-led by a senior AI product engineer with 10+ years of experience building production software and AI-powered products.
Example deliverable
AI Opportunity Map
Contract review drafts
Ready to build
Support ticket triage
Ready to build
Weekly report generation
Ready to build
CRM data enrichment
Needs data review
Ariel Salem — senior software and AI product engineer with 10+ years building production applications, AI-powered workflows, and data-heavy platforms for legal, security, analytics, and operational software.
- Conversational AI
- Document Q&A / RAG
- Workflow automation
- Tool & API integration
- Guardrails & evaluation
- Production software
The problem
AI is already entering your business. The question is whether it is useful, safe, and connected to real work.
Employees are experimenting with different tools and accounts. Leaders are under pressure to adopt AI. Valuable company knowledge remains scattered across documents, inboxes, spreadsheets, and specialized software. Without a plan, teams duplicate effort, expose sensitive data, and invest in pilots that never become dependable workflows.
Scattered experimentation
People use different tools, prompts, and accounts, making quality and risk difficult to manage across the organization.
Valuable workflows remain manual
Teams can see that AI might save time, but have not translated everyday work into well-scoped, measurable opportunities.
Pilots are not becoming systems
Early demos often lack integrations, evaluation, ownership, and documentation — so they never reach reliable use.
Who this is for
Built for teams with real workflows, scattered tools, and no dedicated AI department.
Operations-heavy businesses
Teams handling repetitive communication, proposals, reports, scheduling, documents, or manual data movement between systems.
Product and technology teams
Companies deciding whether to build AI functionality, buy a vendor, or integrate AI into an existing product — and needing grounded guidance before committing.
Leadership teams
Organizations that need a practical roadmap, approved tools, employee guidance, and measurable adoption — not disconnected experiments.
Not a fit for: companies looking for a generic motivational keynote, a one-size-fits-all chatbot, or an automation that removes necessary human review from sensitive decisions.
Services
Three focused engagements — and ongoing support when you need it.
Engagements start with a defined scope and deliverables. You know what is being assessed, built, or taught before work begins.
AI Opportunity & Readiness Audit
1–2 weeks
For teams experimenting with AI but unsure what is worth pursuing. We inventory your workflows and tools, score each opportunity, and produce a prioritized implementation roadmap.
Deliverables
- Workflow and tool inventory across key functions
- Prioritized opportunity map with impact, effort, and risk scoring
- Build-vs-buy recommendations with realistic effort estimates
AI Workflow Implementation & Integration
3–8 weeks
For teams that have a clear workflow and need a working system. We build the pilot, connect it to your existing tools and data, add appropriate review and fallback paths, and hand off documentation your team can own.
Deliverables
- 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 Training & Adoption
Half-day to multi-session
For organizations that need employees to use approved AI tools consistently and safely. Sessions are built around the workflows your team runs every day — not a generic slide deck about the future of AI.
Deliverables
- Role-specific sessions using your team's actual work and tools
- Reusable prompt and process templates for recurring tasks
- Safe-use guidance, escalation rules, and approved tool guidance
Ongoing AI Advisory & Optimization
For teams that need continued evaluation, cost control, governance updates, vendor review, and workflow improvement after an initial engagement.
How it works
A clear path from first conversation to working system.
Engagements begin with a defined scope and deliverables. You will know what is being assessed, built, or taught before work begins.
Diagnose
Review workflows, tools, data, constraints, and current AI usage to understand where the real friction is.
Prioritize
Rank opportunities by business value, feasibility, data readiness, risk, and implementation effort.
Build and test
Deliver a focused pilot, integration, workshop, or operating plan with real users and real data.
Adopt and improve
Train the team, measure usage and quality, document ownership, and establish a path for ongoing refinement.
About the founder
Senior engineering experience, applied to practical business problems.
10+ years building production software
Hands-on experience with AI search, RAG, agents, workflow automation, and data integration
Shipped in legal, security/compliance, analytics, and operational software environments
Dot AI Consulting is led by Ariel Salem, a senior software and AI product engineer with more than 10 years of experience building production applications, data-heavy platforms, internal tools, and AI-powered workflows.
His work has included conversational AI, document search and Q&A, workflow automation, system integrations, evaluations, guardrails, analytics, and secure software used with sensitive business data.
Recommendations from Dot AI Consulting come from shipping real systems — not slide decks about what AI might do someday. The focus is on what is technically feasible, what is safe to automate, and what will save your team real time.
Selected experience
Built and shipped, not just advised.
Production AI workflows
Built conversational AI, document Q&A, AI search, structured outputs, guardrails, and streaming user experiences for production applications.
Complex data and systems
Worked with APIs, GraphQL, relational databases, analytics systems, authentication, billing, and sensitive business data at scale.
Adoption and reliability
Created design systems, testing practices, evaluation workflows, observability, documentation, and team guidance to make new systems maintainable.
Bring one workflow that is slow, repetitive, or difficult to measure.
In a free 30-minute call, we will discuss the current process, the tools and data involved, and whether AI is likely to improve it. If there is a sensible next step, you will receive a recommended engagement path. No obligation.