AI Ecosystem
AI Solutions and Services
SDLC Corp delivers AI solutions and services for enterprises that want to plan, build and run AI in their own systems. Our work spans strategy and governance, custom development, generative and agentic AI, machine learning, and data and AI operations.
Company-wide delivery experience across client engagements; implementations and models represent different measures of work.
Trusted by Fortune Global 500 leaders, governments & top universities across 30+ countries
Powered by leading cloud & AI platforms
Recognized by leading industry reviewers
Awards & industry recognition
Ecosystem
Explore Our AI Ecosystem
Explore AI strategy, engineering, intelligent systems, and data operations. Start with the category that matches your goal.
Case Studies
AI Solutions in Practice
See SDLC Corp projects in AI interior visualization, document processing, and invoice workflow automation.
AI Virtual Staging Platform for DYD
Problem: Preparing room scenes manually took hours before clients could review a design.
Solution: The platform uses room photos to create interior visualizations with furniture and surface options.
Result: The project case study reports renders in about 25 seconds, with an embeddable widget for websites and storefronts.
- Computer Vision
- Generative AI
- Embeddable Widget
AI Document Processing for Transworld Logistics
Problem: Manual invoice entry and review created delays in a workflow handling over 2,000 invoices daily.
Solution: AI extracts invoice data and flags exceptions for review before validated records reach the ERP.
Result: The project case study reports processing time falling from 48 to 4 hours and an error rate of 0.1%.
- Document AI
- Human Review
- ERP Integration
Automated Email Invoice Processing System
Problem: Staff spent 3–4 hours each day sorting and routing invoice emails.
Solution: The system scans incoming emails, matches product codes (SKUs), and routes invoices to the relevant team.
Result: The project case study reports a 90% reduction in manual effort through automated invoice routing.
- Workflow Automation
- Product Code Routing
- Admin Panel
Security & Responsible AI
Security and Responsible AI Delivery
Questions about data, ownership, and control come up early in every AI project. Here is how we approach each one, with the specifics written into your project agreement.
Your Data Stays Yours
We agree how your data is stored, accessed, and handled before work starts. Whether any of it is used to train or fine-tune models is stated in the agreement, never assumed.
Clear IP Ownership
Ownership of code, models, prompts, and outputs is set out in the contract before the build begins, so you know what you own and what you can reuse.
Access and Controls
Assistants and agents get only the access and actions their task needs. Approval steps and activity logs are added where the workflow calls for them.
Human Review Where It Matters
Where accuracy matters, people validate AI output before it is used. In our Transworld Logistics project, exceptions were flagged for review before validated records reached the ERP.
Security measures, data handling, and support terms are agreed per project. Tell us your requirements and we will cover them before you commit.
Discuss Your RequirementsOur Process
How an AI Project Works With SDLC Corp
A clear path from first conversation to production, with checkpoints along the way. Many projects start at step 2 or 3, and we will point you to the right entry point.
- Goal and current state
Discover
We review your business goal, the systems and data you use today, and where the project stands.
- Scope and success measures
Define
We agree use cases, scope, success measures, and governance before any build starts.
- Tested solution
Build
We develop and test the solution, with human review where accuracy matters.
- Connected workflows
Integrate
We connect it to your ERP, CRM, ticketing, and data systems through APIs and defined workflows.
- Support and improvement
Operate
We monitor, update, and improve the system after launch, with support terms agreed up front.
Not every project needs every step. If your goal is an assistant or agent, or predictions from your data, we fold the right capability into the Build step.
AI Delivery,Measured in Results
Production AI work from 1,200+ engineers serving clients in 30+ countries.
Technology
Technology Behind AI Services & Solutions
We use proven models, frameworks, and cloud platforms to build custom AI applications, automate workflows, and connect AI with your existing systems.
OpenAI
Claude
Gemini
Llama
Mistral
Hugging Face
LangChain
LlamaIndex
LangGraph
PyTorch
TensorFlow
NVIDIA
Kubernetes
AWS
Azure
Google CloudGet Started
Let’s Define Your Next AI Project
Tell us your business goal, the systems you already use, and where the project stands today. That can be anything from an early idea to a pilot that needs to scale. SDLC Corp can help you identify the right starting point, whether that is a roadmap, a build, an integration, or support for something already in production.
Discuss Your Project- Your Business GoalWhat you want AI to achieve
- Your Existing SystemsThe applications and data you already use
- Your Current StageFrom early idea to pilot to production
Blogs and Insights
AI Insights & Resources
Practical guides on modernizing enterprise data, connecting voice agents to business systems, and running AI at scale.
What Clients Say About SDLC Corp
Founders and operating leaders on what it is like to build with our teams.
Eric Leist
CEO, Edgerton Strategies
Doug Schmidt
CEO, RoofAid USA
Reyzal Razmi
All Star Influencers
They've quickly understood our business context, moved fast, and brought recommendations rather than questions.
Ready To Plan Your AI Project?
Tell us your goal, the systems you already use, and where the project stands today. We will point you to the right category and scope the first step with you.
Request a Free ConsultationFAQ
Frequently Asked Questions
Answers to the questions we hear most before an AI project starts.
Which AI Service Is Right for Our Business?
Start with the category that matches your goal: strategy and governance to plan, development and engineering to build or integrate, generative and agentic AI for assistants and agents, machine learning for predictions and analysis, and data and AI operations for data foundations and production support. If your goal spans several, a short discovery call will point you to the right starting point.
Can One Project Combine Multiple AI Services?
Yes. Many projects do. A virtual assistant, for example, may need consulting to define its scope, RAG development for knowledge retrieval, integration work to connect it to your systems, and MLOps to keep it reliable. We plan these as one connected effort so the pieces work together.
Can You Integrate AI With Our Existing Systems?
Yes. AI Integration & Implementation connects AI to your current applications, such as ERP, CRM, and document or ticketing systems, through APIs and defined workflows. We start from the systems and data you have, so you do not need to replace them to benefit from AI.
What Do We Need to Start an AI Project?
You need a clear business goal, a view of the systems and data involved, and an idea of the current stage. You do not need a finished specification or perfect data. We can help assess the opportunity, check data readiness, and define a scope you can approve.
Do You Support AI Systems After Deployment?
Yes. Data & AI Operations covers MLOps and AI as a Service, which support systems in production use. Exact support terms are agreed per project, so we can set expectations for monitoring, updates, and ongoing improvement before you commit.
- Contact Us
Let's Talk About Your AI Project
What happens next?
- We review your requirements
- Strategy call with experts
- Clear roadmap & estimate
- NDA Protected
- Enterprise Grade Delivery
- Global Clients