SDLC Corp is an AI development company in the UK 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
Trusted by Fortune Global 500 leaders, governments & top universities across 30+ countries
Company-wide delivery experience across client engagements; implementations and models represent different measures of work.
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.
Choose the AI capability your team needs. We build around your workflow, data and existing software.
Plan the systems, hosting, governance and working arrangements your teams need before development starts.
Connected systems
Connect AI to ERP, CRM, finance and internal applications through approved data access.
Discuss your systemsDeployment
Choose AWS, Azure, Google Cloud or customer managed infrastructure to fit data, security and performance needs.
Discuss hosting requirementsUK governance
Plan data access, privacy, human oversight and review controls around UK GDPR, the Data Protection Act and relevant sector requirements.
Plan governance controlsStart with a clear task, reliable data and a team that will use the result.
Forecast
Forecast demand, churn and operational risk from historical and current data.
Automate
Read, classify and route information inside approvals, follow ups and case workflows.
Assist
Help customers and employees find answers in approved documents and business systems.
Extract
Extract and validate details from invoices, forms and contracts. Flag uncertain fields for review.
Decide
Combine models, business rules and human review to support operational decisions.
Embed
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 CaseHelp operations, finance, service, sales, IT and product teams complete everyday work.
Operations
Automate document-heavy tasks, exception handling, classification and operational analysis.
Finance
Support forecasting, risk analysis, reporting and intelligent document workflows.
Service
Build conversational support, request routing and knowledge-assisted service applications.
Sales
Support lead qualification, account research, summaries and CRM workflows.
IT
Use AI for internal support, service management and enterprise knowledge access.
Product
Add AI capabilities directly to software products and customer experiences.
Build around the workflows, data and review requirements of your industry.
Finance
Fraud detection, risk scoring, document intelligence and controlled AI workflows. For regulated financial-services environments, controls can be mapped to applicable FCA expectations, operational governance and PCI DSS requirements where payment data is involved.
Health
Administrative automation, document processing, intelligent assistance and operational AI. Where health and care data is involved, design the solution around UK data-protection requirements, appropriate security controls, clinical governance and human oversight.
Logistics
Shipment intelligence, document automation, forecasting and operational decision support.
Industry
Visual inspection, predictive maintenance, technical assistance and process intelligence.
Commerce
Recommendations, forecasting, customer experience and generative content.
Impact
Add AI features for onboarding, product support and customer workflows. Measure quality and keep users in control.
Agree on the goal, build the solution and test it with your team before launch. Keep improving it using results from real work.
Define the business problem, users, data and success criteria.
Select the appropriate AI approach and define the application architecture.
Develop the models, application services and required interfaces.
Connect the solution with existing systems, data and workflows.
Test quality against representative business scenarios.
Release the application into the required environment.
Monitor performance and refine the system using production evidence.
Move beyond isolated pilots with one delivery framework covering enterprise context, engineering, evaluation, governance and continuous AI operations.
01 · Discover
Prioritize workflows with measurable value, define success criteria, assess data readiness and identify operational ownership before build starts.
02 · Ground
Prepare trusted data, retrieval pipelines, business rules and permission-aware context so AI works from approved enterprise information.
03 · Engineer
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
Test task success, groundedness, retrieval quality, safety, latency, cost and failure modes against representative business scenarios.
05 · Govern
Define access, approvals, audit evidence, escalation rules, release controls and accountable owners for production AI workflows.
06 · Operate
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.
Your application, models, data and controls work together in one system.
Deliver AI through websites, enterprise software, mobile applications, internal portals or APIs.
Use the appropriate model or AI service for the specific workload.
Provide approved business information required by the application.
Connect AI with CRM, ERP, databases, APIs and other operational systems.
Apply deterministic rules, confidence thresholds and human review where needed.
Track operational quality, latency, failures, usage and business outcomes.
Choose models, data tools and hosting based on the task, access requirements and cost.
Plan controls around the data, industry and deployment involved in your project.
UK data protection
Plan lawful processing, purpose limitation, data minimisation, retention, transparency, rights handling and accountability where personal data is involved.
Privacy by design
Build privacy and data-protection safeguards into the design lifecycle and support DPIA evidence where processing may create a high risk to people’s rights and freedoms.
Health and care
Apply appropriate access controls, encryption, logging, data minimisation and human oversight when AI workflows use health and care data.
Risk management
Map safety, security and robustness, appropriate transparency and explainability, fairness, accountability and governance, and contestability and redress into review processes.
Accountability
Set accountable owners, approval steps, escalation paths, access rules and review points for sensitive or consequential AI-assisted work.
AI security
Plan secure design, secure development, secure deployment and secure operation, with appropriate controls for models, APIs, data and supporting infrastructure.
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 RequirementsExplore AI and enterprise platforms with verified delivery and outcome metrics from the underlying case studies.
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
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
A decision-intelligence workflow combines scenario simulation, risk scoring and analyst approval to support faster, more controlled trading decisions.
Verified outcome: profitability increased by 40% while decision time fell by 78%.
Scenario SimulationRisk ScoringAnalyst ReviewDecision
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
Named clients discuss the delivery, communication and support they received from SDLC Corp.
Eric Leist
CEO, Edgerton Strategies
Doug Schmidt
CEO, Roofaid UK
Reyzal Razmi
All Star Influencers
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.
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.
Named clients share feedback on their software and game development projects. Read their full reviews on GoodFirms.
Software development
They saw inefficiencies in our processes that we’d stopped noticing, and built a solution.
VP, Reiss · 5.0/5 · Read reviewSoftware development
Their deep discovery process meant they understood our business needs better than we did.
President, DieBotics · 5.0/5 · Read reviewGame development
Working with SDLC Corp was a smooth, transparent, and professional experience.
CEO, Solena · 5.0/5 · Read reviewAI Engineering
at Scale.
Production AI experience across our enterprise delivery teams.
One team builds the AI capability, application and connections your business needs.
End to End
Build the model, application, workflow and integration as one production system.
Depth
Use dedicated expertise across machine learning, language AI, RAG, agents, vision and generative AI.
Connected
Connect AI with the software and systems already running your business.
Right-Sized
Select commercial, open or custom models according to the workload.
Measured
Measure AI against representative business scenarios before and after deployment.
Oversight
Keep people involved where judgment, authorization or accountability is required.
Security and quality assurance
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 ConsultationStart with discovery when your use case, data readiness or delivery plan needs more work.
Strategy
Assess opportunities, readiness and priorities before committing to a build.
Explore AI Consulting ServicesProgramme
For organization-wide AI programs involving multiple teams and systems.
Explore Enterprise AI DevelopmentConnect
For an already-defined capability that needs connecting to existing systems.
Explore AI Integration & ImplementationReview readiness, governance, production support and build versus buy choices.
GuideHow to prioritise use cases, set guardrails and measure ROI.
Read Article
GuideGovernance controls for personal data, third-party AI and human review.
Read Article
GuideHow production operations differ for classic ML and LLM applications.
Read Article
GuideWhen a platform fits and when a custom AI build makes more sense.
Read ArticleUse the global AI development page for the full capability model, then use this UK page for regional market context.
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
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