You will get an AI automation audit with a clear business strategy and next steps.
Top Rated
Project details
5-Hour AI Automation Audit — Practical, Build-Ready Recommendations
If you’re considering AI automation but don’t want vague “AI ideas,” this audit is designed to produce a realistic, implementable plan based on your current tools, data, and constraints.
In 5 hours, I’ll break down your workflow, identify automation candidates, and deliver a prioritized backlog ranked by impact vs effort—with feasibility and risk notes so you can move forward confidently.
What we’ll do (5 hours total)
Hour 1 (live, 1 hour): Kickoff — goals, scope, systems, constraints, success criteria
Hour 2: Workflow breakdown — steps, handoffs, bottlenecks, error points
Hour 3: Automation fit — AI vs rules/scripts vs hybrid + where human review is required
Hour 4: Feasibility & risk — data readiness, integration points, edge cases, security considerations
Hour 5 (live, 1 hour): Review — walkthrough, prioritization, final refinements
Deliverables
Audit Report (PDF)
Prioritized Automation Backlog (table format)
Why this is different
Most audits stop at “what could be automated.” I focus on what is actually feasible to implement in your environment, and I flag dependencies and risks upfront.
If you’re considering AI automation but don’t want vague “AI ideas,” this audit is designed to produce a realistic, implementable plan based on your current tools, data, and constraints.
In 5 hours, I’ll break down your workflow, identify automation candidates, and deliver a prioritized backlog ranked by impact vs effort—with feasibility and risk notes so you can move forward confidently.
What we’ll do (5 hours total)
Hour 1 (live, 1 hour): Kickoff — goals, scope, systems, constraints, success criteria
Hour 2: Workflow breakdown — steps, handoffs, bottlenecks, error points
Hour 3: Automation fit — AI vs rules/scripts vs hybrid + where human review is required
Hour 4: Feasibility & risk — data readiness, integration points, edge cases, security considerations
Hour 5 (live, 1 hour): Review — walkthrough, prioritization, final refinements
Deliverables
Audit Report (PDF)
Prioritized Automation Backlog (table format)
Why this is different
Most audits stop at “what could be automated.” I focus on what is actually feasible to implement in your environment, and I flag dependencies and risks upfront.
Industry
Ecommerce, Financial Services, Health & Medical, Logistics & Supply Chain Management, Transportation & AutomotiveWhat's included $600
These options are included with the project scope.
$600
- Delivery Time 3 days
- Live Consultation (Minutes) 120
Frequently asked questions
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NM
Nate M.
Aug 28, 2026
Ai Engineer
KF
Kiril F.
May 20, 2026
RAG Ingestion System
JK
Jibran K.
May 7, 2026
Development & walkthrough on AI agents for competitor intel and insights
Hisan took the time to understand my ask and execute flawlessly before doing a comprehensive demo to transfer learnings.
I engaged Hisan to develop AI agents (early days of Microsoft Copilot agents) that could act fairly autonomously to source relevant research from the internet. The end result was great and it also helped me turbo charge my own AI journey.
I fully intend on engaging Hisan again in the future and recommend him both for his professionalism and his capabilities.
I engaged Hisan to develop AI agents (early days of Microsoft Copilot agents) that could act fairly autonomously to source relevant research from the internet. The end result was great and it also helped me turbo charge my own AI journey.
I fully intend on engaging Hisan again in the future and recommend him both for his professionalism and his capabilities.
TO
Tom O.
Mar 6, 2026
RAG AI Bot Developer 1,400 Dental Transcripts – Semantic Search Q&A (Consulting & Architecture Role)
Super happy with Hisan's work and will definitely re-engage him in the future if we have additional similar work to do.
HC
Honyaku C.
Feb 7, 2026
Honyaku Cloud – Shunyaku Pipeline Implementation
Hisan was not only detail-oriented but also offered alternatives and viable solutions, always willing to talk through the issues in order to better understand the root causes and implement the best solution.
About Hisan
Agentic AI Engineer | Voice AI, RAG, Automation | Retell, n8n, Claude
100%
Job Success
Lahore, Pakistan - 4:27 pm local time
Top Rated Plus · 100% Job Success · 50+ projects · 50+ five-star reviews
I build production AI systems that keep working after launch: voice agents that handle live calls, RAG systems that answer from your own data with sources, and the backend automation that connects both to the tools you already run. Shipped across healthcare and dental, real estate, localization and coaching. Not prototypes. Every build includes structured data capture, error handling, logging, evals and a clean handoff to a human.
RECENT WORK
📞 AI receptionist that answers every call, books the appointment and updates the CRM (real estate)
Qualifies buyers on the call, books against live availability, writes the outcome to the CRM and warm-transfers to a human when qualification fails. Retell, ElevenLabs, Twilio SIP, FastAPI on Railway.
🎙 Voice assistant callers can interrupt, with answers pulled from your live data
Sub-second turn-taking on the OpenAI Realtime API, streaming speech in and out, function calling for live lookups and barge-in handling. Client review: "Terrific collaborator. Smart, agile, curious, and adaptive."
🧠 AI coach your employees can talk to inside Microsoft Teams
Built for a workplace-coaching company: voice conversations, document RAG and memory that carries across sessions, delivered as a Teams app. FastAPI on Azure with authentication, PostgreSQL, monitoring and locked-down infrastructure. (Amiko Coach)
🦷 Sourced answers from years of patient consultation notes, in seconds (dental)
Staff ask in plain language across 1,400 consultation transcripts and get grounded answers with the source evidence shown. Hierarchical retrieval on Qdrant, hybrid semantic + BM25 search, metadata filtering, FastAPI ingestion and search backend. Consulting and architecture role. Client review: "Super happy with Hisan's work and will definitely re-engage him."
🔎 Prospect research and lead scoring on autopilot, straight into your CRM
Agents find, enrich and score prospects, push qualified ones into the CRM and trigger follow-up. Duplicate prevention and retries on failed API calls so nothing drops silently.
🤝 Automatic user-to-user matching that runs in the background of a community platform
Live for 1,000+ users: vector-similarity matching, LLM scoring of match quality, scheduled background searches, location filtering and automated onboarding.
🌐 Document translation on autopilot: upload Word, PowerPoint, Excel or PDF, get the finished file back
Built for a professional translation company in Japan. Document processing, translation-memory and terminology retrieval, a three-pass LLM workflow, collaborative review, reconstruction of translated Word, PowerPoint, Excel and PDF files, and locked-down S3 storage. Four milestones delivered, ongoing.
🔒 Private ChatGPT-style assistant on your own cloud, nothing leaves your servers
Self-hosted vLLM and RAG on RunPod and AWS for teams that can't send data to a third-party API. Includes an n8n stack migrated to self-hosted RunPod.
WHAT I BUILD
✅ Voice AI agents: Retell, Vapi, OpenAI Realtime API, Twilio, ElevenLabs, WhatsApp. Inbound and outbound, qualification, booking, intake, human handoff.
✅ RAG and document intelligence: hybrid retrieval, chunking that fits your documents, metadata filters, evals so accuracy is measured rather than assumed. pgvector, Pinecone, Qdrant, ChromaDB.
✅ Workflow and backend automation: n8n, Make, FastAPI services, webhooks, CRM integrations (HubSpot, GoHighLevel), Postgres/Supabase, Redis queues, dashboards.
✅ LLM infrastructure: self-hosted vLLM, private deployments, cost and latency tuning, observability.
Stack: Python, FastAPI, LangChain, LangGraph, Claude, OpenAI, Retell, Deepgram, Twilio, n8n, Qdrant, PostgreSQL, Supabase, Redis, Azure, AWS, Docker.
WHERE THESE PROJECTS BREAK
Voice: the hard part is not getting the agent to talk. It is capturing messy real-world answers as structured fields, so your team gets clean data instead of transcripts to read.
RAG: retrieval itself is rarely the problem. Weak chunking, missing metadata filters and answers that sound right but are not grounded in the right document are. Every RAG build I ship comes with evals.
Automation: the workflow is the easy part. Preventing duplicates, retrying failed API calls and making sure a human can see what happened when something breaks is the real work.
HOW WE START
1. Book a 30-minute consultation or message me with one workflow to automate, or one agent that isn't working.
2. You get a written scope with milestones and what "done" means for each one.
3. I ship in small milestones you can test yourself: a number you can call, a query you can run.
4. Every build ends with logs, evals and a handover doc so your team o
Steps for completing your project
After purchasing the project, send requirements so Hisan can start the project.
Delivery time starts when Hisan receives requirements from you.
Hisan works on your project following the steps below.
Revisions may occur after the delivery date.
Kickoff (live, 1 hour)
Align on goals, scope, constraints, systems involved, and success metrics. Identify the workflows to audit and confirm what materials/access you’ll share.
Workflow breakdown + mapping
I map the workflow end-to-end: steps, owners, handoffs, bottlenecks, error points, and time sinks. I’ll document the current state clearly.