AI Integration Solutions for Enterprise-Grade Growth
PSSPL is the AI integration agency that companies contact when it’s time for the pilot project to go into production mode. We integrate big language models, machine learning, and AI agents with your ERP, CRM, and existing legacy system – all on an ISO-certified secure network backed by Microsoft Solutions Partner engineers.
Integration Layer
Your Systems
Your ERP, CRM, and legacy applications connect through PSSPL's integration layer
Integration Layer
Governed by access controls, encryption, and audit trails
AI Models
Out to the LLMs, ML models, and AI agents that act on your data.
Most AI integration failures are systems failures, not AI failures.
It’s systems problems – models that work perfectly in the notebook but fall flat the second they need to interface with your ERP, enforce your security controls, and remain within a compliance boundary. This is where the capabilities of PSSPL’s AI integration services come into play.
For 26 years, our developers have been creating software that has been used in factories, hospitals, and financial back-office departments. Today, the same in-house team is responsible for the design of the AI integration into all of these systems. As an AI integration company, we deliberately avoid the glamour associated with it: no power-point presentations, only availability and functionality. In other words, our AI integration consulting services always begin with a realistic evaluation of your data and infrastructure rather than an out-of-the-box AI solution roadmap.
The reason why we adhere to the principles stated above is because of our ISO 9001:2015 and ISO/IEC 27001:2022 certification related to quality management and information security systems respectively and the designation as Microsoft Solutions Partner in Data & AI services. The former is certified by Microsoft; the latter, audited. Those aren’t marketing badges – they’re the operating constraints every AI integration solution we ship has to pass through.
AI integration services, organized around what actually breaks in production
AI Integration Consulting
We audit your architecture, data quality, and access model before any recommendations, and provide you with a scope-optimized roadmap.
Custom AI & ML Integration
If the out-of-the-box solution does not work for your process, we will design and optimize the solution for you and integrate it into your environment via your APIs and pipelines.
Generative AI & Agentic AI Integration
We help integrate the LLMs and agentic AI into internal applications (ticketing system, document storage, ERP) that fetch data and perform actions based on your access permissions.
LLM & Enterprise Model Integration
Being Microsoft Solutions Partner for Data & AI, we integrate Microsoft Copilot, Azure OpenAI, Claude, GPT-based and other models via secure API gateways.
AI-Enhanced CRM, ERP & M365 Integration
The majority of our projects happen within applications you’re already using. We build AI-powered content discovery, recommendation, and workflow automation capabilities right into Microsoft 365, SharePoint, CRM and ERP platforms.
Computer Vision & Predictive Analytics Integration
In the case of manufacturing and healthcare organizations, we integrate vision-based solutions for quality inspection and predictive models for forecasting and risk scoring into existing reporting systems.
AI Chatbot & Conversational AI Integration
We develop and integrate natural language processing (NLP)-powered chatbots into customer support, sales or internal helpdesk channels, trained based on your company’s documentation, not off generic training sets.
MLOps, Governance & Compliance Engineering
Integration is not the end of the process, we make sure AI systems remain accurate, explainable, and compliant during production use through monitoring and drift detection.
Achievements and Industry Accolades
AI models our AI integration solutions are built to work with
Our AI integration consulting services aren’t dependent on any particular vendor or model series. The model to be used is decided by the problem at hand and the integration is done via that governed layer, whichever it may turn out to be.
LLM & Enterprise Model Integration
Behind most of our AI integration services is large language model — knowledge management assistants, document automation, and external chatbots. We have been integrating Claude, GPT family, and Microsoft Copilot through the API layer that is controlled and monitored.
Transformer & NLP Model Integration
Search, summarization, translation, and sentiment analysis tasks can be fulfilled by integrating transformer and BERT-like models that are tuned with specific client’s terminology, so outputs read like they were written by someone who knows the business.
Computer Vision Model Integration
CNN-based computer vision models are behind our quality-inspection and visual search solutions implemented in manufacturing and retail businesses by integrating with camera streams and MES or catalog systems directly.
Predictive & Time-Series Model Integration
LSTMs and other sequential models are behind forecasting, demand-planning and risk management solutions provided by us as part of AI integration consulting services, integrated with the BI solutions used for planning.
Open-Source Model Integration
If data residency or cost factors prohibit API-based implementation of an AI solution, then we integrate open-source models like LLaMA and Mistral on-premises or in a cloud environment of a client, foregoing some convenience for full control over data and model weights.
Proprietary & Enterprise Model Integration
As a Microsoft Solutions Partner for Data & AI, we provide enterprise-grade integration of Azure OpenAI Service and Microsoft Copilot along with Claude and other proprietary models, respecting compliance requirements for those platforms.
How PSSPL's AI Integration Services Drive Smarter Business Decisions
We integrate AI into the systems you already run — automating routine work, surfacing real-time insight, and giving your teams the accuracy they need to act with confidence, at lower operating cost.
Faster decisions
Teams can view AI-insights on the very dashboards and platforms that they access everyday rather than a stand-alone report which nobody bothers to read.
Lower error rates
An algorithmic approach of reviewing by AI results in catching those consistent and small-scale errors that would otherwise escape human oversight.
Stronger customer experience
Sales and support conversations are improved by the use of an AI chatbot that is connected to live order information, account information, and inventory levels.
Compliance through governance
Since the AI integration already has built-in governance, every decision and action taken can be audited
What actually makes an AI integration agency trustworthy
Microsoft-audited, not self-declared
The Microsoft Solution Partner Award for Data & AI and Digital & App Innovation is a direct certification from Microsoft based on their delivery capability and success – it is not an award that we chose to give out ourselves.
ISO-certified engineering, annually audited
Our AI integration consulting services are run using ISO 9001:2015 standards for quality management and ISO/IEC 27001:2022 for information security, including access control and change management.
26 years, 500+ projects — not a pivot
PSSPL has built enterprise software since 2000. AI integration is a new layer on top of two decades of systems engineering across FinTech, healthcare, logistics, and manufacturing — not a rebrand.
In-house, across three regions
Over 200 engineers, architects, and data scientists working for us in India, the USA, and Europe. No unnamed subcontractors to work with your data and your model weights.
Our AI integration process, in the order it actually happens
Systems & Data Assessment
We assess your existing architecture, integration points, data quality, and access controls to ensure technical suitability before making any recommendations.
Integration Architecture & Model Selection
We select the appropriate LLM, ML model type, or agent architecture based on your use case and then develop the endpoints, routing, and microservices to enable it.
Governance & Compliance Setup
Prior to any connection being made, we establish access control, encryption, and auditing – using the exact same processes we utilize within our ISO 27001-compliant service.
Build & Connect
We integrate the AI layer into your ERP, CRM, or applications via APIs and event pipelines with the goal of having minimal disruptions to your existing operations.
Testing Under Real Conditions
We run our tests under conditions which simulate those of the actual production environment in terms of load, latency, accuracy, and edge cases.
Deployment, Training & Monitoring
We start using the documentations and conducting training for our team, and continue to monitor for drift and performance even months after implementation.
Industries our AI integration solutions have shipped into
Maintenance prediction and computer vision-based quality inspection integrated within existing manufacturing processes and MES.
Demand forecasting and personalization solutions integrated within product catalogs, inventories, and CRM.
Documentation tools and patient risk management workflow solutions integrated within EHR and hospital management systems.
Fraud detection, compliance testing, and risk assessment models integrated within core banking and back-office systems.
Models for route and inventory forecasts incorporated in current fleet and warehousing management solutions.
Systems for creation and assessment of learning content in learning management systems and student information systems.
Chatbots for lead qualification and listing fraud detection in CRM and property management systems.
Dynamic pricing and multi-language booking assistants in current reservation and PMS systems.
Tools and frameworks our AI integration engineers work in
AI & ML Frameworks
TensorFlow · PyTorch · scikit-learn · Keras
Data Processing
Python · Pandas · NumPy · Apache Spark
Generative & LLM Platforms
Azure OpenAI Service · Claude · GPT-4 · LLaMA
Visualization & BI
Visualization & BI
Choose the Right Engagement Model from Our AI Integration Agency
Client Success Stories
Let's find out what your systems can actually support.
Every engagement starts the same way: a straightforward look at your architecture and data, followed by a roadmap you can hold us to.
Questions we hear before an AI integration engagement starts
The process of AI integration involves the integration of the AI model/agent into the systems, processes and data that the company uses currently to enable it to work in the existing system rather than just a standalone model or an experiment. Development of an AI solution starts from scratch, whereas AI integration starts from where you are.
The costs of AI integration services vary depending on the number of systems involved, quality and readiness of the data as well as the need for development of the custom models. A case of single workflow integration is not the same as the enterprise-wide project. At PSSPL we scope each engagement through a brief assessment of your systems and provide a fixed price quote.
Integration of an AI chatbot or other solution into a single support line would only take a couple of weeks. Integration of enterprise-level solutions into ERP systems, CRM, and data repositories will take several months due to the data prep and information governance aspects rather than the model itself.
At PSSPL, we have ISO 9001:2015 and ISO/IEC 27001:2022 certifications, which means that our quality management processes and information security practices are independently audited, not self-certified. All engagements operate using encrypted connections, limited scope access controls, and audit logs. We also follow the GDPR and HIPAA requirements wherever applicable.
Being a Microsoft Solution Partner in Data & AI, we widely employ Microsoft Copilot and Azure OpenAI Service, as well as Claude, GPT-family, and also open-source models such as LLaMA and Mistral, which can be integrated either using secure API gateways or fine-tuned/hosted locally on our customer’s site.
Absolutely – the vast majority of PSSPL's AI integration projects involve on-premises ERP systems and legacy applications. Integration is usually done via an intermediary middleware/API layer allowing the AI to access the data without rebuilding the system.
PSSPL has performed AI integration consulting for various verticals including manufacturing, healthcare, BFSI, retail and ecommerce, logistics, and education with over more than two decades of experience of delivering enterprise software solutions in these industries.
It all begins with an evaluation of the system and the data because our consultants assess your existing infrastructure, integration, and data readiness to provide the scope and costs estimate before the actual development phase.