Finance
Financial Services
Fraud detection, risk scoring, document intelligence and controlled AI workflows. Payment workflows can be designed around applicable PCI DSS requirements.
AI Engineering Enterprise Ready
AI Development Company
in USA for Enterprise AI
SDLC Corp is an AI development company in USA helping enterprises build production AI systems for forecasting, document intelligence, customer service, automation and operational decision support.
Our AI development services connect machine learning, generative AI, LLMs, RAG, AI agents and computer vision with existing enterprise systems, security controls, evaluation and production operations.
AI delivery at scale
300+AI deployments
400+AI specialists
120+Agents in production
40+AI products shipped
Trusted by Fortune Global 500 leaders, governments & top universities across 30+ countries
Recognition
Award-Winning
AI Engineering
Recognized for enterprise AI delivery and custom artificial intelligence development.
Top AI Development Company by Selected Firms
Top AI App Developers by C2C Reviews
Top IT Consulting, SI & Managed Services Company by ITRate
Top Software Development Company by Selected FirmsReviewed on Clutch, GoodFirms, Selected Firms and DesignRush.
Capabilities
Custom AI development for US businesses
Choose the AI capability your team needs. We build around your workflow, data and existing software.
US delivery
Built for US enterprise teams
Plan the systems, hosting and working arrangements your teams need before development starts.
Connected systems
Enterprise integration
Connect AI to ERP, CRM, finance and internal applications through approved data access.
Discuss your systemsDeployment
Cloud, private and hybrid hosting
Choose AWS, Azure, Google Cloud or customer managed infrastructure to fit data, security and performance needs.
Discuss hosting requirementsWorking together
Delivery across your teams
Agree owners, review points and meeting schedules with business, engineering and security teams.
Plan your delivery Solutions
AI solutions for US business workflows
Start with a clear task, reliable data and a team that will use the result.
Forecast
Predictive AI
Forecast demand, churn and operational risk from historical and current data.
Automate
Intelligent Automation
Read, classify and route information inside approvals, follow ups and case workflows.
Assist
AI Assistants
Help customers and employees find answers in approved documents and business systems.
Extract
Document Intelligence
Extract and validate details from invoices, forms and contracts. Flag uncertain fields for review.
Decide
Decision Intelligence
Combine models, business rules and human review to support operational decisions.
Embed
AI features for products
Add AI features to your software, with clear controls and feedback from real users.
Have an AI use case in mind?
Tell us the workflow and the systems involved. We will suggest where AI fits and what it needs to work.
Discuss Your AI Use Case By Function
AI for your teams
Help operations, finance, service, sales, IT and product teams complete everyday work.
Operations
Operations
Automate document-heavy tasks, exception handling, classification and operational analysis.
Finance
Finance
Support forecasting, risk analysis, reporting and intelligent document workflows.
Service
Customer Service
Build conversational support, request routing and knowledge-assisted service applications.
Sales
Sales
Support lead qualification, account research, summaries and CRM workflows.
IT
IT
Use AI for internal support, service management and enterprise knowledge access.
Product
Product Teams
Add AI capabilities directly to software products and customer experiences.
By Industry
AI for key US industries
Build around the workflows, data and review requirements of your industry.
Health
Healthcare
Administrative automation, document processing, intelligent assistance and operational AI. HIPAA-aligned controls can be applied where US healthcare data is involved.
Logistics
Logistics
Shipment intelligence, document automation, forecasting and operational decision support.
Industry
Manufacturing
Visual inspection, predictive maintenance, technical assistance and process intelligence.
Commerce
Retail and E-Commerce
Recommendations, forecasting, customer experience and generative content.
Impact
SaaS and technology
Add AI features for onboarding, product support and customer workflows. Measure quality and keep users in control.
Process
How we build and deploy AI
Agree on the goal, build the solution and test it with your team before launch. Keep improving it using results from real work.
- 01
Discover
Define the business problem, users, data and success criteria.
- 02
Design
Select the appropriate AI approach and define the application architecture.
- 03
Build
Develop the models, application services and required interfaces.
- 04
Integrate
Connect the solution with existing systems, data and workflows.
- 05
Evaluate
Test quality against representative business scenarios.
- 06
Deploy
Release the application into the required environment.
- 07
Improve
Monitor performance and refine the system using production evidence.
SDLC AI Production Framework
A reusable framework for production enterprise AI
Move beyond isolated pilots with one delivery framework covering enterprise context, engineering, evaluation, governance and continuous AI operations.
01 · Discover
Value & Readiness
Prioritize workflows with measurable value, define success criteria, assess data readiness and identify operational ownership before build starts.
02 · Ground
Enterprise Context
Prepare trusted data, retrieval pipelines, business rules and permission-aware context so AI works from approved enterprise information.
03 · Engineer
Models, Agents & Integration
Build the right mix of models, RAG, agents, APIs and workflow integrations instead of forcing one model or architecture onto every use case.
04 · Evaluate
Production Evaluation
Test task success, groundedness, retrieval quality, safety, latency, cost and failure modes against representative business scenarios.
05 · Govern
Controls & Human Oversight
Define access, approvals, audit evidence, escalation rules, release controls and accountable owners for production AI workflows.
06 · Operate
MLOps, LLMOps & AgentOps
Monitor quality, drift, latency, usage and cost with versioning, staged releases, rollback and continuous improvement after launch.
The framework is applied across predictive ML, generative AI, RAG, document intelligence, computer vision and agentic workflows, with controls adjusted to the data, business process and deployment environment.
Architecture
AI that connects to your business systems
Your application, models, data and controls work together in one system.
Business Application Integration Layer AI Capability Data Validation Workflow Monitoring
Application Layer
Deliver AI through websites, enterprise software, mobile applications, internal portals or APIs.
AI Layer
Use the appropriate model or AI service for the specific workload.
Data Layer
Provide approved business information required by the application.
Integration Layer
Connect AI with CRM, ERP, databases, APIs and other operational systems.
Validation
Apply deterministic rules, confidence thresholds and human review where needed.
Monitoring
Track operational quality, latency, failures, usage and business outcomes.
StackAI
AI
Technology Stack
Choose models, data tools and hosting based on the task, access requirements and cost.
AI and Machine Learning
Where the modelling happens
PythonPyTorchTensorFlowscikit-learnHugging Face
Language AI
Model families we build on
OpenAIClaudeGeminiLlamaMistral
AI Engineering
How capability becomes an application
LangChainLangGraphFastAPINode.jsREST APIs
Data
Where business information lives
PostgreSQLMongoDBSnowflakeDatabricks
Infrastructure
Where it runs
AWSMicrosoft AzureGoogle CloudDockerKubernetes
US requirements
US privacy, security and AI governance
Plan controls around the data, industry and deployment involved in your project.
California privacy
CCPA and CPRA
Plan data access, retention and privacy request handling where California privacy requirements apply.
Healthcare data
HIPAA
Build access controls, encryption and audit logs around protected health information where HIPAA applies.
Payment data
PCI DSS
Define payment data flows and integration requirements with approved payment providers.
Risk management
NIST AI RMF
Use the voluntary NIST AI Risk Management Framework to guide risk reviews, evaluation and oversight.
Human oversight
AI governance
Set owners, approval steps, access rules and review points for sensitive or consequential work.
Secure deployment
Cloud and private systems
Choose infrastructure and model access that fit your security, data location and operational needs.
Need to check security and compliance first?
Share your hosting, data and governance requirements and we will plan the AI work around them.
Review My Requirements Portfolio
AI and platform delivery examples
Explore AI and enterprise platforms with verified delivery and outcome metrics from the underlying case studies.
4 entries · scroll to reveal
01 / 04 Case Study
Document Intelligence SDLC Corp
Transworld Logistics
An AI document processing workflow extracts information from invoices and bills of lading, validates important fields and sends approved results into enterprise operations.
Verified outcome: processing time fell from 48 hours to 4 hours, while error rate dropped from 4–5% to 0.1%.
DocumentExtractionValidationEnterprise Operations
- 48h → 4h processing
- 4–5% → 0.1% errors
- $2.50 → $0.45/invoice
- 2,000+ invoices/day
- Human review
- ERP integration
02 / 04 Case Study
AI Virtual Staging SDLC Corp
DYD interior design platform
A generative AI application allows users to visualize furniture, flooring, wall finishes and lighting inside real rooms.
Verified outcome: photorealistic renders are produced in about 25 seconds versus 4–12 hours for manual 3D builds.
The production pipeline combines image understanding, real scale visualization and generative models.
Room PhotoScene UnderstandingReal-Scale PlacementGenerated View
- ~25s render time
- 4–12h manual baseline
- 1:1 inch-accurate
- 6-month build
- 4 user types
- Production deployment
03 / 04 Case study
US Retail Platform SDLC Corp
KISS USA retail and back-office platform
A US retail platform connects point of sale, inventory, employee workflows, loyalty, reporting, SAP synchronization and payment operations across stores.
Verified delivery scale: 19 custom modules, 200+ data models and 80+ API endpoints across the US retail platform.
POSInventoryEmployeesLoyaltySAP & Payments
- 19 custom modules
- 200+ data models
- 80+ API endpoints
- Odoo 18 Enterprise
- SAP integration
- Elavon payments
04 / 04 Product
Document AI Platform SDLC Corp
Data AI Ninja
A document-intelligence platform classifies uploaded files, extracts structured information and provides confidence based review workflows.
Verified rollout scope: a 12-person finance team across three departments moved to the AI workflow in a 2-week setup.
UploadClassificationExtractionConfidence ReviewStructured Output
- 12 finance staff
- 3 departments
- 2-week setup
- 5+ export options
- Confidence scoring
- Human review
Client Stories
Clients share their experience
Named clients discuss the delivery, communication and support they received from SDLC Corp.
Client story
Eric Leist
CEO, Edgerton Strategies
Client story
Doug Schmidt
CEO, Roofaid USA
Client story
Reyzal Razmi
All Star Influencers
What clients say
01 / 05
They approached our Salesforce discovery with real technical depth, uncovered structural gaps others missed, and delivered a solution that worked exactly as promised.
SDLC CORP built a mobile application that met our strategic requirements with strong technical execution. The solution performs reliably and has become an important operational asset.
They saw inefficiencies in our Salesforce workflow and redesigned our entire quote-to-cash system. We now operate faster, cleaner, and with better accuracy.
From planning to post-launch, SDLC Corp guided us every step of the way. Their support makes them more than a vendor. They're a trusted partner.
The SDLC Corp team scaled our platform with impressive technical expertise, ensuring it's secure, robust, and ready for future growth.
What clients say
01 / 05
The SDLC Corp team scaled our platform with impressive technical expertise, ensuring it's secure, robust, and ready for future growth.
From planning to post-launch, SDLC Corp guided us every step of the way. Their support makes them more than a vendor. They're a trusted partner.
They saw inefficiencies in our Salesforce workflow and redesigned our entire quote-to-cash system. We now operate faster, cleaner, and with better accuracy.
SDLC CORP built a mobile application that met our strategic requirements with strong technical execution. The solution performs reliably and has become an important operational asset.
They approached our Salesforce discovery with real technical depth, uncovered structural gaps others missed, and delivered a solution that worked exactly as promised.
Independent reviews
Published client feedback
Named clients share feedback on their software and game development projects. Read their full reviews on GoodFirms.
Software development
Emma Taylor
They saw inefficiencies in our processes that we’d stopped noticing, and built a solution.
VP, Reiss · 5.0/5 · Read reviewSoftware development
Tim Launiere
Their deep discovery process meant they understood our business needs better than we did.
President, DieBotics · 5.0/5 · Read reviewGame development
Eunice Helen
Working with SDLC Corp was a smooth, transparent, and professional experience.
CEO, Solena · 5.0/5 · Read review By the Numbers
AI Engineering
at Scale.
Production AI experience across our enterprise delivery teams.
Drag to spin
300+
AI deployments
Production delivery
SOC 2
Security assurance
Independent controls review
400+
AI specialists
AI engineering teams
120+
Agents in production
Production operations
ISO
27001 and 9001
Security and quality management
40+
AI products shipped
Enterprise AI delivery
Why SDLC Corp
Why US businesses choose SDLC Corp
One team builds the AI capability, application and connections your business needs.
End to End
Complete AI delivery
Build the model, application, workflow and integration as one production system.
Depth
Specialist AI Teams
Use dedicated expertise across machine learning, language AI, RAG, agents, vision and generative AI.
Connected
Enterprise Integration
Connect AI with the software and systems already running your business.
Right-Sized
Model Flexibility
Select commercial, open or custom models according to the workload.
Measured
Production Evaluation
Measure AI against representative business scenarios before and after deployment.
Oversight
Human Oversight
Keep people involved where judgment, authorization or accountability is required.
Security and quality assurance
Company AssuranceSOC 2 Type II · ISO 27001 Certified · ISO 9001 Certified
Project controls are planned around your data, systems, industry and deployment requirements.
Ready to start your AI project?
Talk to our AI team about scope, timelines and the right first step.
Get a Free Consultation Before You BuildNeed AI
Need AI
Strategy First?
Start with discovery when your use case, data readiness or delivery plan needs more work.
Strategy
AI Consulting Services
Assess opportunities, readiness and priorities before committing to a build.
Explore AI Consulting ServicesProgramme
Enterprise AI Development
For organization-wide AI programs involving multiple teams and systems.
Explore Enterprise AI DevelopmentConnect
AI Integration & Implementation
For an already-defined capability that needs connecting to existing systems.
Explore AI Integration & Implementation Resources
Explore all articlesPractical guidance for planning AI
Review readiness, governance, production support and build versus buy choices.
GuideEnterprise AI Roadmap: Use Cases, Guardrails, and ROI
How to prioritise use cases, set guardrails and measure ROI.
Read Article
GuideGovernment AI Governance: PII, Vendor Risk and Human Oversight
Governance controls for personal data, third-party AI and human review.
Read Article
GuideMLOps vs LLMOps: What Enterprises Need
How production operations differ for classic ML and LLM applications.
Read Article
GuideDecision Intelligence Build vs Buy: Complete 2026 Guide
When a platform fits and when a custom AI build makes more sense.
Read Article Global AI Development
Explore our global AI development services
Use the global AI development page for the full capability model, then use this regional page for local market context.
Get Started
Discuss your AI project in the USA
Tell us what your team needs AI to do, which systems it must use and where your data should stay.
We will review the scope and agree the next step.
Contact Us
Share a few details about your project, and we’ll get back to you soon.
Let's Talk About Your Project
- Free Consultation
- 24/7 Experts Support
- On-Time Delivery
- sales@sdlccorp.com
- +1(510-630-6507)