
AWS Certified Team
Certified Cloud Deployment
Whether it's a custom AI agent or an AI governance model, artificial intelligence is valuable when it performs in real operations. As a Claude Service Partner, Pinnasys ensures your AI model is well-aligned and ready to deliver measurable impact from day one.
30-minute call · No pitch, no obligation · You leave with a scoped, costed use case
Trusted by 100+ businesses and AI-native startups


























AI integration transforms disconnected tools into intelligent, connected business systems. By linking AI with your existing applications, data sources, and workflows, we help you automate processes, improve collaboration, and make faster, data-driven decisions.
The Numbers Behind Our Expertise
Projects Shipped
Years of Expertise
Global Clients
Certified Service Partner
Backed by AI architects and a full-stack integration toolkit, Pinnasys covers the entire integration lifecycle. From wiring a first model into your CRM to running enterprise-scale governance, every stage below is a real deliverable, not a slide.
Bring one disconnected system: a CRM, an ERP, or a legacy database that AI still cannot reach. In a 30-minute call we will map the connection, agree the governance it needs, and show you the path to production.
Book a Discovery CallEvery story below started with fragmented systems. Here's what integration delivered once it was live.

168 hrs
Operating weekly
4×
Human capacity

90%
Queries automated
40%
Support cost reduction
400
ROI increase
30%
ROI increase

95%
Enrichment Accuracy
40%
Faster Lead-to-Contact

10+ hrs
Saved per advisor weekly
50%
Less manual follow-up
Trusted by teams who needed AI integration solutions that work under real conditions. Not a custom AI integration promise that delivers nothing.
"The Pinnasys team was excellent to work with throughout our custom AI development project. Professional, responsive, and consistently delivered high-quality work. Their technical skills, communication, and attention to detail exceeded our expectations."
Owner & President, Gillette Agency, Inc
Before any system gets wired together, a short consulting session tells you what to connect first, what can wait, and what governance a use case actually needs. No obligation, no sales pitch.
Book a Discovery CallOur AI deployment services are tailored to the systems, regulations, and workflows of your specific industry.
Plenty of vendors call themselves an AI integration agency. Here is what separates a connection that survives an audit from one that quietly breaks in six months.

We are an Anthropic Claude Service Partner, and the architects wiring your systems hold Claude Certified Associate, Developer, and Architect credentials.
Every integration ships with an audit trail, an approval workflow, and a named owner from day one, not bolted on after a regulator asks for one.
Middleware and integration wrappers mean your existing systems keep running while they gain AI capability, without a migration project your team never signed up for.
We connect the models and frameworks that fit your stack and build on open standards, so the integration stays portable if your vendor choices change.
Real-time observability on accuracy, latency, and cost means degradation gets flagged before your customers notice, with alerts tied to metrics your business tracks.
Not every connection needs the same level of control. We tell you which integrations are low-risk and which need human approval before you overbuild.
Most clients begin with one disconnected system, prove it holds up under real load, then expand integration and governance together. We stay past launch, so someone remains accountable for how your AI systems talk to each other.
Book a Discovery CallA connection that works in a demo is not the same as one that survives production traffic. We build every layer below into each integration, from the API contract to the audit trail.
Secure, version-controlled endpoints between your models and the CRM, ERP, or database they need to reach, built with retry logic and clear error states.
The extraction, transformation, and sync jobs that keep AI systems working from current, clean records instead of stale exports.
CI/CD pipelines built specifically for models, with staged rollouts and rollback paths that limit the blast radius of a bad release.
Accuracy, latency, cost, and drift tracked continuously, with alerts routed to the people who own the outcome, not a dashboard nobody opens.
Human-in-the-loop checkpoints, role-based permissions, and full audit logging on every AI-driven action that touches your data.
Model cards, bias testing, and approval records built alongside the integration, so an audit is a formality instead of a scramble.
Every integration is model and framework agnostic, chosen for your use case rather than fashion. Claude sits at the center of our stack as a Certified Service Partner, and the same AI integration platform choices keep your systems portable.
Hugging FaceEvery stage ends with something you can verify, and each has to earn the next before an integration goes anywhere near production data.
We audit your current systems, data flows, and integration points to find where AI can connect without disrupting what already works.
We design the integration architecture first: API contracts, data pipeline design, authentication, and the governance controls each connection needs.
We wire the models into your CRM, ERP, or database in short cycles, with working connections you can test at every stage.
We deploy into your environment with monitoring and alerting configured from the first release, so degradation surfaces before your customers do.
We put audit logging, approval workflows, and compliance documentation in place, then keep tuning as your systems and regulations evolve.
AI integration touches your live data and your customers, so trust is the whole game. Five pillars govern every connection, from the first conversation through to production.


Data stays encrypted in transit and at rest, and we do not train shared models on your records at any point in the pipeline.


Least-privilege access, a secure development lifecycle, and prompt-injection defenses on every connection that reads external input.


Every AI-driven action is logged and traceable, with human approval required for sensitive decisions and continuous evaluation against real cases.


Frameworks engineered for GDPR, the EU AI Act, and ISO 42001, with a standard NDA and clear IP assignment on every engagement.


Integrations run inside your security perimeter on scoped credentials, so your team can operate the system with or without us. No lock-in to our infrastructure or our roadmap.

Data stays encrypted in transit and at rest, and we do not train shared models on your records at any point in the pipeline.




AI integration touches your most sensitive systems, so the guardrails matter as much as the connection itself. We work under NDA from the first call, deploy inside your cloud, and hand over every credential, log, and piece of documentation.
Book a Discovery CallEvery integration is delivered by a senior Claude- and AWS-certified team that audits your systems, builds the connections, and stays with you into governance. The same small pod runs from architecture review into production.

Audits your systems, designs the connection architecture, and is your direct point of contact throughout.
Builds and tests the API connections, data pipelines, and middleware that link AI models to your live systems.
Owns the deployment pipelines, monitoring, and drift detection that keep integrated models reliable after launch.
Sets up audit logging, approval workflows, and compliance documentation aligned to your regulatory requirements.
Build custom AI applications, automation workflows, and the systems that connect them to your business.
Build assistants, copilots, and retrieval pipelines grounded in your own content, with answers traceable to a source.
Deploy agents that plan, decide, and act across your systems inside guardrails you set.
Get AI into production and keep it healthy, with the monitoring and governance that keeps it trustworthy.
Every certification, ranking, and partnership we highlight is independently verifiable. From recognized industry certifications to trusted technology partnerships, our credentials as an AI integration company are built on proven expertise.
Boards are asking why AI pilots stall. The figures below explain why integration and governance, not model quality, are usually the answer.
of AI high performers report data-related challenges as a major obstacle to capturing value from AI.
Never Reach Production. AI project failure runs above 80%, twice the rate of non-AI IT work, with poor integration and data readiness at the root.
Mature Governance Is Doubling. The share of organizations with a mature AI governance model in place is projected to more than double in the coming years.
Practical guides, articles, and tools to educate you before integrating responsible AI into your systems.
Every business has a different mix of systems, data, and risk. Tell us what you are running today, and we will tell you honestly which integration and governance work is worth doing first.
Book a Discovery CallAI integration wires your models and agents into the systems your business runs on: CRMs, ERPs, helpdesks, and databases. It also covers the data pipelines, authentication, error handling, and monitoring that keep everything stable in production.
Governance scales to your risk, not your headcount. A smaller company handling customer data or financial transactions still needs audit logs and approval workflows, just lighter ones than an enterprise deployment. Deloitte found only one in five companies run a mature governance model regardless of size, so most teams are starting from the same place.
Yes. Legacy System AI Modernisation layers integration wrappers, event bridges, and middleware around applications that predate AI as a category, so they gain AI capability without a rip-and-replace migration project.
We start with an architecture review that audits your current systems and data flows, then map where AI can connect without disrupting what already works. You get a scoped, costed integration plan before any code is written.
Our generative AI integration services embed LLMs, RAG pipelines, and copilots directly into your existing product stack, with prompt orchestration, fallback logic, and a clean handoff to your engineering team.
No. AI consulting builds the roadmap and decides what to build first. AI integration is the engineering work of connecting, deploying, and governing the AI models and agents once that roadmap is underway.
It depends on how many systems need to connect and how much governance the use case requires. Industry-wide, 56% of enterprises report six to eighteen months from intake to production. Tighter integration and governance work compresses that window considerably.
Book a 30-minute discovery call with our AI experts. There's no sales pitch and no obligation, just practical advice, a clear assessment of your current systems, and actionable recommendations for your next steps.