AI AUTOMATION ARCHITECT
Oguzhan Durace
I combine deep business process expertise with hands on AI and Generative AI engineering to build enterprise systems that actually deliver. Having spent years in consulting and operations roles inside Salesforce, CRM, and enterprise workflows, I know where intelligent automation creates real value and where it falls flat. That context is what lets me design scalable AI solutions that fit the business, not just the tech stack.
About
Business Process Expertise Meets AI Engineering
Most AI consultants start from the technology and work backwards to the business. I do the opposite. With 6+ years in client facing consulting and enterprise operations at Accenture, Shell, and high growth startups, I have led digital transformation initiatives, mapped workflows, sat in stakeholder meetings, and felt the pain of manual processes firsthand. That operational fluency is what separates a working prototype from a system people actually adopt.
Today I apply that context to build scalable, data driven AI systems that fit into how teams already work. Lead qualification engines inside Salesforce that sales reps trust. Conversational AI bots that let junior agents handle escalation tier tickets. Intelligent automation workflows that streamline CRM operations end to end. Every project I take on starts with the same question: what does this process look like today, and where does AI make it meaningfully better?
Methodology
How I Deliver AI Projects
Every engagement follows the same structured approach. This is what separates a POC that sits on a shelf from a system that gets adopted and delivers ROI.
Discover & Scope
Map the current process with the people who live it every day. Run a feasibility assessment, identify where the real bottlenecks are, define KPIs upfront, and align stakeholders on what "done" looks like before writing a single line of code.
Build & Configure
Design and implement the AI solution within the existing tech stack. Integrate with the tools teams already use (Salesforce, JIRA, Slack, CRMs) so adoption is seamless, not a change management battle.
Pilot & Validate
Run a structured pilot with a defined scope, real data, and real users. Track performance against the success metrics agreed in discovery. Iterate based on user feedback before scaling.
Scale & Hand Off
Present pilot results to decision makers with clear ROI data. Roll out the scalable solution to the full organization with training, technical documentation, and a clean handover so the system runs independently after I leave.
Experience
Professional Journey
AI Automation Architect & Salesforce Product Owner
CurrentLeading Generative AI and intelligent automation initiatives across sales, procurement, logistics, and support. Owning the full consulting cycle from process discovery and solution design through implementation, validation against KPIs, and production rollout.
- Ran discovery workshops with sales leadership to identify pipeline bottlenecks, then scoped and built an AI powered lead qualification engine in Salesforce using LLMs and ML based scoring. Validated against agreed KPIs over a structured pilot, presented data driven results to the executive team, and secured sign off for full rollout. Outcome: 40% conversion uplift.
- Mapped the end to end support ticket lifecycle with the operations team, identified triage as the primary bottleneck, and designed a smart case management system using NLP classification. Piloted with a subset of ticket categories, iterated based on agent feedback in a continuous improvement cycle, and scaled company wide. Outcome: 60% reduction in triage time.
- Developed a Jira Slack alerting integration and Conversational AI support bot. Defined success criteria with the support manager, ran a 3 week POC tracking resolution times and agent satisfaction, then transitioned both tools into core operational infrastructure.
- Own end to end delivery of AI automation projects: process mapping, solution design, stakeholder alignment, technical build, user acceptance testing, technical documentation, training, and production handover.
Salesforce Product Manager
Led a full scale digital transformation of the Salesforce environment for a Shell subsidiary. Owned the product roadmap, gathered business requirements across departments, managed cross functional stakeholders, and drove adoption through structured change management.
- Led complete Salesforce environment migration from legacy systems: gathered business requirements across 5 departments, defined the migration roadmap, coordinated data migration, and managed phased rollout with minimal business disruption
- Delivered Sales Cloud, Service Cloud, and Sitetracker implementations on time and within budget, managing dependencies across engineering, operations, and commercial teams
- Designed and facilitated end user training programs for new Salesforce workflows, driving adoption across field teams and back office operations
- Served as the primary bridge between engineering and business stakeholders, translating technical constraints into business language and vice versa to maintain executive alignment throughout the project
Digital Business Integration Analyst
Delivered enterprise scale digital transformation and integration projects for global clients in client facing roles. Managed multi market implementations with structured delivery methodology, stakeholder coordination, and change management across time zones.
- Managed rollout planning, market requirement specification, and Go Live execution for 10+ international markets, ensuring each market met readiness criteria before launch
- Set up and deployed 20+ forms using Adobe Experience Manager, coordinating acceptance testing with local market teams before each release
- Implemented software configuration management plans for enterprise clients, establishing governance processes for change control and release management
- Led cross functional stakeholder communication across multiple time zones, facilitating alignment between local teams and central program leadership
Process Manager & Salesforce Product Manager
Managed product backlogs and Salesforce process optimization. Designed validation rules, approval workflows, and automation flows while aligning commercial and technical requirements across teams.
- Planned and developed Salesforce processes and flows supporting daily company operations, working directly with end users to validate each workflow before deployment
- Designed custom validation rules and approval processes ensuring data integrity and policy compliance across the organization
- Managed product backlogs, facilitating prioritization sessions between commercial and technical stakeholders to align business requirements with delivery objectives
Enterprise Projects
What I Build at Work
AI powered enterprise systems, multi agent architectures, and intelligent automation. These projects are from enterprise engagements under NDA. The descriptions below detail the architecture, tools, and measurable impact of each.
AI Powered Lead Qualification Engine
EnterpriseEnd to end Generative AI pipeline integrated into Salesforce that intercepts incoming leads, enriches them with external data sources (company size, funding stage, tech stack) via API calls, scores them using a custom ML classification model, and routes them to the optimal sales representative. The system eliminated manual lead triage for a 15 person sales team and fundamentally changed how the organization handles inbound pipeline.
40% conversion uplift
Smart Case Management System
EnterpriseIntelligent ticket routing system that uses NLP classification to auto categorize support cases by topic and urgency at the moment of creation. Assigns priority scores based on historical resolution patterns and routes to specialized agent groups. Built with Salesforce Flows and rule based AI triggers that continuously learn from resolution outcomes, improving accuracy over time.
60% reduction in triage time
AI Support Bot & Knowledge Assistant
EnterpriseAI powered support assistant built to reduce resolution times for a growing support team. The system takes incoming tickets, uses GPT to classify issue type and urgency, then searches structured knowledge base entries to surface the most relevant past resolutions. It auto drafts response templates that agents can review and send, cutting the time from ticket open to first response significantly. The real impact was enabling junior agents to handle complex escalation tier tickets independently, reducing dependency on senior staff.
Junior agents resolving 3x more complex tickets
Multi Agent CRM System
EnterpriseBuilt a system with three specialized AI agents that each own a distinct CRM workflow. The first agent enriches new customer records by pulling company data, funding stage, and tech stack from external APIs. The second agent runs audience segmentation using clustering on deal history and engagement patterns. The third generates personalized follow up email sequences based on segment and deal stage. Each agent operates independently, passes structured outputs to the next, and flags anomalies for human review. Designed as a POC for autonomous enterprise CRM operations.
Jira Slack Intelligent Alerting
EnterpriseCustom integration that monitors Jira ticket state changes in real time, applies intelligent filtering rules to prevent notification fatigue, and delivers context rich alerts to the right Slack channels. Includes smart batching (grouping related updates), actionable Slack buttons for quick ticket actions, and configurable escalation paths. Solved the "alert noise" problem that caused teams to ignore critical notifications.
35% faster ticket response
Salesforce Enterprise Architecture Rebuild
EnterpriseLed the complete Salesforce environment migration and modernization at Ubitricity, a Shell subsidiary. Redesigned the entire data model from scratch, migrated legacy configurations, deployed Sales Cloud, Service Cloud, and Sitetracker integrations, and trained cross functional teams on new workflows. The project transformed company wide operational efficiency and was delivered on schedule and within budget.
Personal Projects
What I Build on My Own Time
Side projects, experiments, and tools I build to explore new technologies and solve problems that interest me. A mix of AI applications, data platforms, and web tools.
Polywhale: Real Time Signal Detection Engine
PrivateA real time data intelligence platform that tracks high volume participant behavior and detects convergence signals. Features pattern detection (identifying when multiple high performing participants converge on the same outcome), hedge analysis to separate noise from genuine conviction, participant specialization scoring, and quality metrics. Includes a full admin panel, configurable alert thresholds, and real time notification system. Built as a full stack application with a FastAPI backend and React frontend.
PolyGod: Market Intelligence Platform
PrivateAn analytics and intelligence platform with end to end data pipelines for ingesting, processing, and analyzing market data at scale. Features automated data collection workflows, Supabase backed infrastructure for persistent storage, trend analysis across multiple categories, and structured output for actionable insights. Demonstrates data engineering patterns applicable to any domain requiring continuous market monitoring.
Canvas Pro: AI Art Generation Platform
PrivateAn AI art generation platform that supports multiple AI providers for creating images. Features an agent manager for orchestrating different AI models, provider selection for choosing between generation services, context aware prompting, and a streamlined user interface for rapid creative iteration.
Draft AI Ace: Fantasy Sports Assistant
PrivateAn AI powered fantasy sports draft assistant that provides real time player suggestions and analysis during snake drafts. Features an intelligent draft board, player autocomplete with performance data, AI driven suggestion panels, file upload for league data import, and PIN based authentication for secure access.
Real Cost Finder
PrivateA travel cost transparency tool that calculates real trip costs including hidden expenses like parking, tolls, and elevation based fuel consumption. Features a FastAPI backend, intelligent cost calculation engine, and data caching for frequently searched routes. Built to help travelers understand the actual cost of their journeys beyond just fuel estimates.
FootballAnalyzer
Open SourceData engineering and analysis pipeline for football match statistics. Ingests large datasets, performs statistical analysis on player performance metrics, team formations, and match outcomes, and generates interactive visualizations. Demonstrates data engineering fundamentals and analytical rigor.
AI Portfolio Hub
Open SourceThis portfolio website, built from scratch with a modern React stack. Demonstrates frontend engineering capabilities alongside AI expertise. Statically exported and deployed via GitHub Actions CI/CD pipeline to GitHub Pages. The portfolio itself is a project, showcasing attention to craft, full stack versatility, and the ability to ship polished products.
Technical Skills
Tools & Technologies
LLMs & AI Models
Intelligent Automation & AI Patterns
Automation & Integration
Development
Enterprise Platforms
AI Development Tools
Education & Credentials
Academic Background
Master of Science in Management
2017 to 2019- Quantitative Business Track
- Specialization: Business Analytics
- Partial Merit Scholarship Recipient
Bachelor of Business Administration
2011 to 2016Certifications
Languages
Contact
Looking for My Next Challenge
Currently exploring senior AI consulting and AI automation architect roles where I can lead enterprise AI initiatives end to end. If your organization is integrating AI into business operations and needs someone who understands both sides, I would welcome the conversation.
Berlin, Germany