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
37 reviews
(37)
(0)
(0)
(0)
(0)
This project doesn't have any reviews.
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.
HC
Honyaku C.
Feb 7, 2026
Migrate N8N Workflow Automation to Self-Hosted RunPod Instance
About Hisan
AI Engineer | RAG & AI Agents | Voice AI Automation | Python, Next.js
100%
Job Success
Lahore, Pakistan - 7:33 am local time
Top Rated Plus, 100% Job Success, $50K+ earned across 50 Upwork jobs.
Getting an AI demo to work once is usually the easy part. The real engineering starts when retrieval has to stay reliable, agents need to follow guardrails, voice latency becomes noticeable, and real users stop following the happy path. That is the part I usually own.
Recent work:
* RAG system over 1,400 healthcare transcripts: hybrid search using dense retrieval, BM25 and RRF fusion, with metadata filtering and confidence gating so weak evidence gets flagged instead of answered confidently
* Conversational AI and voice agents using Retell AI, ElevenLabs, Deepgram, Twilio and OpenAI Realtime API: sales negotiation, lead qualification, appointment setting, coaching calls, CRM writeback and n8n automation
* Enterprise AI translation platform for a Japanese firm: multi-pass LLM pipeline with Translation Memory retrieval, replacing much of their manual CAT-tool workflow
* Private, self-hosted LLM and RAG stacks using vLLM and Qdrant for compliance-sensitive clients whose data cannot leave their infrastructure
* AI agents and full-stack LLM products end to end: LangGraph tool-calling workflows, FastAPI backends, Next.js and React frontends, PostgreSQL, and deployment on AWS and Azure
Core stack: Python, FastAPI, LangGraph, LangChain, LlamaIndex, Qdrant, OpenAI API, Claude API, Retell AI, ElevenLabs, Deepgram, Twilio, n8n, Next.js, React, PostgreSQL, AWS, Azure and Docker.
What you can expect:
* Clear scope and milestones before work starts
* Direct updates, documented code and a proper handover
* Ownership of the complete build, not just the model call
* Honest pushback if an approach has a problem or a simpler option would work better
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.