Integrate AI Into Your Existing Systems Without Starting Over

From the initial development of a model to its deployment and ongoing operation. We develop solutions to fulfil the transparency and auditability requirements of enterprises:

- Describe choices by using model cards and logs for tracing decisions.
- Explainable AI (XAI) tools for explanation and anomaly detection.
- Analysis of data with a view to eliminating bias in the model (helping to prevent bias drift or discrimination).

Furthermore, we also support internal compliance and IT policies, so that the output of our models can be trusted, traced and reviewed, which is crucial in regulated industries such as finance or healthcare.

We've already provided AI solutions to several areas of a business:

- Using AI-powered chatbots and NLP for ticket triaging automates customer support to boost efficiency. AI-powered chatbots and NLP for ticket triaging streamline customer support.
- Optimization of a supply chain with the help of an ML model for demand forecasting.
- Intelligent Analytics with Auto-Generated Dashboards and Anomaly Detection.
- AI for recruitment and HR tech resume screening and scoring.

From LLM-powered assistants to computer vision or process automation, Closeloop matches AI use cases with business needs to save money, speed up processes, or enable new features.

Absolutely, Closeloop is good at modernizing and augmenting legacy platforms with AI features. We adopt a modular approach, where there will be minimal disruption:

You can use microservices, APIs, or add AI functionality without rewriting entire systems, extract and structure legacy data with data connectors, and use middleware or orchestration tools to connect AI with legacy ERPs, CRMs, or custom apps – all while it adapts to your roadmap and scales to your needs.

AI integration requires more than model expertise. It requires understanding the software, data, cloud infrastructure, and enterprise systems the AI needs to work with.
Closeloop combines AI engineering with deep capabilities across custom software, data engineering, cloud, Salesforce, NetSuite, and enterprise integration. That allows us to take AI from an isolated proof of concept to a capability that works securely within your existing technology environment and business workflows.

We integrate a broad range of AI technologies depending on the business problem, including:

- Large Language Models and Generative AI
- AI Agents and multi-step intelligent workflows
- Retrieval-Augmented Generation (RAG) and enterprise search
- Machine Learning and predictive analytics
- Natural Language Processing (NLP)
- Computer Vision
- Recommendation and personalization systems
- Anomaly detection and forecasting

We work with leading model ecosystems such as Anthropic Claude, OpenAI GPT, and Google Gemini, as well as machine learning frameworks including TensorFlow and PyTorch. These capabilities can be integrated with your existing CRM, ERP, cloud platforms, data systems, APIs, and custom applications.

Absolutely, data security is a key priority for us in our process of integrating AI. To ensure the protection of data at all times, Closeloop follows industry best practices and compliance standards (GDPR, HIPAA, SOC 2, etc.). To protect your data, we do:

- Data is encrypted while it is in transit and at rest.
- In addition, putting in place access control and audit logging.
- The use of anonymisation/pseudonymisation if required.
- To prevent AI models from holding sensitive PII after they have finished the inference.

Our team of engineers also conducts periodic code audits and vulnerability evaluations in California. You'll find a partner who respects enterprise-class data security with Closeloop.

The use case complexity, existing tech stack of your business, and your business goals determine the time frame of AI and GPT Integration Services​. The time required to implement a basic chatbot is 4–6 weeks, while embedding AI in financial forecasting, fraud, or supply chain optimisation can take 3–6 months. When delivering at Closeloop, we offer the following:
- Assess the feasibility of the discovery and AI. Conduct Discovery and AI feasibility assessment.
- MVP or POC (Proof of Concept) in less than 6-8 weeks
- Production deployment through iterative testing that scales up production.
We are an Inc. 5000 Accredited company with 100% CSAT, and we work through agile methodologies to decrease the risk of timelines and increase value delivery for your AI projects.

While AI integration has the potential to transform, it's not without its challenges, particularly for data-challenged organizations. Common issues include:

- Data silos or poor-quality data: AI needs clean, structured, and easily accessible data to work.
- Limited Talent Pool: The deployment and operation of AI models require a stake.
- Legacy infrastructure constraints: Older systems may not be able to support the new generation of AI tooling.
- Security and Compliance: Protecting against sensitive data leakage and compliance violations in models.


However, Closeloop addresses all of these challenges in a step-by-step manner: AI readiness assessments, custom model design, and secure deployment, aligning with infrastructure and compliance requirements.

AI Integration Services​ costs can vary widely depending on the scope, use case, complexity of your existing infrastructure, and the type of AI models or platforms involved. The prices for small-scale automation or chatbots begin at $15,000 to $30,000. The price of enterprise-grade AI such as predictive analytics, ML-driven recommendations, or vision models can be from $75,000 to more than $250,000. We believe an estimate of effort and investment must be done in a consultative manner at Closeloop. We evaluate:

- The architecture of the current system in use.- The existing system architecture.
- Source of AI (e.g., MLOps, machine learning, artificial intelligence)
- E-commerce (eCommerce, online payment systems)
- The volume, velocity, and quality of your data

Our Silicon Valley-based team can help achieve a balance of business value and TCO (total cost of ownership).