AI Integration Services
From Siloed Processes
to Streamlined Operations
Our AI integration services
AI integration consulting
Reduce deployment friction by evaluating AI integration readiness of existing systems and architecture, planning custom integration solutions, and developing a sequenced plan.
Legacy and enterprise system integration
Make AI work alongside mission-critical legacy systems without full modernization, including ERPs, CRMs, EHRs, and custom enterprise platforms and the workflows they support.
API architecture design
Design middleware and APIs to connect models like Claude, GPT, and Gemini to your backend systems securely, built around your performance requirements and business logic.
LLM and model integration
Ground models inside enterprise knowledge via RAG and embed them in workflows, so their outputs and actions are context-aware and within your regulatory bounds.
Agentic workflow automation
Enhance efficiency and scalability with agentic deployments automating complex workflows across systems, acting within bounded permissions, escalating to people when needed.
Enterprise AI integration
Scale AI capabilities across teams, workflows, and systems throughout the organization with enterprise AI integration services that support compliant and contextually grounded AI use.
Integration security and access controls
Secure every connection between AI and your systems. We scope credentials for each integration, enforce least-privilege access, and log model and agent activity for audit.
LLMOps and AI support
Maintain peak performance with monitoring, retraining, token cost tracking, and migration as models and APIs are deprecated, so your AI systems keep pace with your business.
Benefits of AI integration services
Accelerate time-to-value
Our pre-built accelerators, frameworks, and teams have done this before, helping us move from concept to production faster than you'd expect.
Integration with existing systems
Embed AI into your current applications, data platforms, and workflows without disrupting core business operations.
Reduce operational risk
Deploy AI securely. Every deployment is built with governance controls, live monitoring, and regulatory safeguards baked in from day one.
Unlock value from disconnected data
Most enterprises are sitting on valuable data. We connect disparate sources and give AI the context it needs to surface insights.
Modernize inefficient processes
We use intelligent automation to improve speed, reduce errors, and scale in ways that headcount alone never could.
Real business outcomes from our work
94% accuracy
in identifying family connections using AI-driven facial recognition technology.
Days to hours
approval times in property appraisals, cut with AI-powered image analysis.
5 hours saved
in research per patent correspondence for each attorney.
95% lower
call costs with an AI-powered outbound calling agent.
2,250 hours saved
every month with a secure generative AI knowledge assistant.
80% reduction
in production costs with AI-driven automation in generating multilingual financial explainer videos.
75% faster access
to specialized knowledge and medical data for clinicians in transplant care.
Integrate AI Into Your Enterprise
Our approach to AI integration
Discover
Build
Integrate
AI capabilities are embedded into your current systems and workflows through both custom and off-the-shelf platform connectors, configured for security, and set up for smooth adoption.
Validate
Scale
Industries we support
We deliver industry-focused AI integration services for businesses that solve real-world operational challenges.
Healthcare
Patient data integration: Connect EHR and EMR data across healthcare organizations using HL7 and FHIR.
Medical imaging AI: Bring computer vision into PACS-based radiology and pathology workflows.
Clinical decision support: Give clinicians access to AI agents grounded in approved knowledge, while ensuring humans are in the loop for important care decisions.
Point-of-care knowledge access: Put specialist knowledge inside the clinical tools care teams already use.
Diagnostic tooling: ML-based screening on mobile and other edge devices can generate fast results, allowing for quick decision-making.
Financial services
Identity verification: Facial recognition and biometric (with computer vision systems) integrated into onboarding and identity checks.
Intelligent document processing: Extraction and validation of customer information during KYC and account opening.
Fraud detection: Score transaction risk in real time by identifying unusual patterns as they emerge.
Credit risk assessment: Assess credit risk using alternative data alongside core banking records.
Regulatory reporting: Monitor compliance activity, preserve supporting evidence, and prepare reports for review.
Retail
Personalized experiences: Product recommendations, offers, and pricing can be tailored for consumers by connecting AI systems to existing commerce platforms.
Visual quality control: Inspect products and identify defects on the production line with computer vision.
Store and supply analytics: Bring sales, foot traffic, and inventory data together for more informed planning.
Demand forecasting: Projecting demand cycles with AI and ERP planning can help reduce both stock running out and excess inventory.
Customer service automation: Connect AI assistants with order management and support tools to resolve common customer requests.
Manufacturing and energy
Smart inventory: Material planning with AI can help cut drilling downtime by 30 to 40 percent in the energy sector.
Predictive maintenance: Use IoT sensor readings to identify equipment problems earlier and plan maintenance around them.
Quality assurance automation: Add computer vision inspection to MES and production workflows.
Production scheduling: Allows for balancing of resources, shifts, and capacity constraints through AI-assisted scheduling.
Supply chain visibility: Demand data and live tracking combined can give teams a clearer view of suppliers and logistics.
Education
Adaptive learning: Adjust learning paths for individual students from LMS activity and relevant student records.
Content moderation: Bilingual content can be reviewed and moderated in around 10 seconds with AI.
Automated assessment: Help educators grade assignments, prepare feedback, and review results faster with AI-powered LLMs.
Student performance analytics: Flag students who may need support and give teachers earlier visibility.
Learning assistants: Embed AI tutors in existing course platforms to support students as they learn.
Why enterprises choose 10Pearls for AI integration
AI Launchpad Program
Our proprietary program accelerates innovation, taking your idea from concept to proof-of-value in just 90 days with minimized risk.
Advanced Technical Expertise
Our engineers have deep expertise in machine learning, natural language processing, computer vision, and integrating large language models.
Security & compliance
Security, governance, and compliance measures are built in from day one, with protected data processes and rules that align with HIPAA, GDPR, and SOC 2 requirements.
Global support
With 1400+ experts across four continents, we ensure responsive support and scalable international delivery.
Data engineering foundation
Strong AI requires strong data. Our teams build robust pipelines to ensure data quality and reliable AI performance.
You are in great company
Our AI integration case studies
case study - fintech
Cloud-Based Core Banking Platform
Integrating AI and ML capabilities to streamline operations and deliver personalized experiences through a core banking platform.
- 15 Country global expansion
- 50+ Financial institutions adopted
case study - ARTIFICIAL INTELLIGENCE
Healthcare Support Platform with Agentic AI
10Pearls developed an agentic AI virtual assistant designed to enhance caregiver support through multilingual support, sentiment analysis, and a sophisticated knowledge management system.
- Enhanced UX with AI
- Improved accessibility
- Increased scalability
case study - ARTIFICIAL INTELLIGENCE
Agentic AI Financial Assistant
Optimizing financial operations with an AI-powered smart assistant designed to automate workflow and enhance decision-making.
- AI-augmented modernization path validated for incremental delivery
- Increased operational efficiency
- 1 / 3
- 2 / 3
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Insights
AI/ML
AI Readiness Assessment: A 6-Dimension Checklist
AI agents act with insider access at machine speed. Why that breaks traditional security models, and seven controls for engineering...
AI/ML
Securing AI Agents: 4 New Risks and 7 Controls
AI agents act with insider access at machine speed. Why that breaks traditional security models, and seven controls for engineering...
AI/ML
Why Corporate AI Implementation Fails
Why Corporate AI Implementation Fails & How to Fix It 10Pearls Editorial Team 13 min read Summary Corporate AI implementation...
AI/ML
How to Choose an AI Development Partner: Red Flags to Avoid
An AI project can impress in a demo and still fall apart on real data and real users. How to...
AI/ML
LLM in Healthcare: Use Cases, Risks & Deployment
A guide to LLM in healthcare, covering use cases, model selection, risks, HIPAA compliance, and what organisations need for deployment.
AI/ML
AI Governance Checklist: 9 Controls to Enforce
AI now writes a large share of production code, and it does not just change how software is built, it...
AI/ML
How AI Is Reshaping Healthcare Cybersecurity Threats
AI is helping both sides of healthcare cybersecurity. Attackers use it to speed up reconnaissance, write convincing phishing and deploy...
AI/ML
AI for Credit Unions: Use Cases, Agents and ROI
A practical guide to AI ROI at institutions under $1B, covering high-payback use cases, real integration costs, NCUA expectations, and...
AI/ML
AML Transaction Monitoring and KYC: From Manual to AI
Traditional KYC and AML processes are struggling to keep up with modern financial crime. Learn how automation and AI are...
AI/ML
How Enterprises Can Scale AI Without Losing Accountability
AI now writes a large share of production code, and it does not just change how software is built, it...
Awards and recognitions
FAQs
What are AI integration services?
Which service includes AI agent integration services?
How to evaluate AI integration vendors for enterprise software?
Proven enterprise experience with complex deployments
Technical expertise across relevant AI technologies
Industry-specific knowledge and compliance understanding
Comprehensive security frameworks, end-to-end capabilities from strategy to support
Scalability for enterprise data volumes
Integration expertise with your tech stack
Transparent ROI methodology
Client references from similar organizations.
Request detailed case studies and ensure vendors demonstrate both AI proficiency and enterprise software expertise.