Hire AI-First Engineer
Groovy Web Products
We connect the right AI model to your CRM, ERP, help desk, data and product, with the permissions, guardrails and monitoring that let it run in production. No rebuild, no vendor lock-in.
★★★★★ Rated 4.9 on Clutch from 55 verified reviews. Building software since 2015.
Your systems
Integration layer
AI integration layer
What changes
Illustrative architecture, not a client result.
AI integration is connecting AI models to the software your business already runs, so AI can read your data and take action inside your existing workflows. It covers choosing the model, connecting it to your systems, keeping data permissions intact, and measuring and monitoring the result in production.
It is different from building a new AI product. Integration is usually the faster path to a return, because your data, users and processes already exist. Depending on the job we use LLM API integration, MCP, retrieval over your documents or workflow automation.
The best first integration is usually the system where your team already spends its day reading, typing and searching. These are the ones we connect most.
Zendesk, Freshdesk, Intercom, email
Salesforce, HubSpot, Pipedrive
NetSuite, SAP, QuickBooks, Xero
SharePoint, Confluence, Drive, Notion
Web apps, mobile apps, SaaS platforms
Snowflake, BigQuery, Postgres, internal APIs
We choose the pattern that fits your systems and risk level, then build it to production standard. Each one has its own page if you want the detail.
Connect GPT, Claude or Gemini to your product or tools with caching, rate limiting, fallbacks and cost controls, so the feature keeps working when traffic spikes.
Expose your systems to AI agents through the Model Context Protocol with scoped permissions and audit logs, instead of custom glue code for every tool.
Let AI answer from your documents, tickets and databases with cited sources. We handle ingestion, retrieval quality and the evaluation that proves answers are grounded.
Put AI inside the processes that already run your business. We replace fragile Zapier or n8n chains with monitored flows that fail loudly and recover.
Already on Make.com? We add the OpenAI scenarios, error handling and monitoring that turn a prototype scenario into something your team can rely on.
Add AI to older systems without a rewrite, using a thin layer in front of them. If the system itself is the blocker, we scope the modernization step first.
AI agents analyze requirements and market data to build a precise blueprint.
AI-first system design with UI/UX prototypes and technical planning.
6 AI specialists work in parallel at 10-20X velocity with continuous integration.
Automated testing validates every component. Zero-downtime deployment from day one.
AI agents monitor, optimize, and ship improvements. Evolve faster than competition.
AI integrations fail in predictable ways. Every build ships with a specific control for each of these, not an optional add-on.
Sensitive customer or financial data gets sent to a model it should never see.
How we handle itThe model gets only the fields a task needs. Sensitive values are redacted or tokenized, and enterprise terms or private deployments are used where policy requires.
The assistant shows someone a record they are not allowed to see.
How we handle itAccess follows your existing roles. Retrieval filters by user permission before the model sees anything, and every call is logged.
The model states something false and a person acts on it.
How we handle itWe build an evaluation set from your real cases, ground answers in approved sources with citations, and route low-confidence cases to a person.
Usage spikes and the model bill arrives as a shock.
How we handle itCaching, model routing, per-feature budgets and alerts keep cost visible and capped from the first release.
The model provider has an outage or retires the model you depend on.
How we handle itA model-neutral layer with fallbacks means you can switch provider or model without rewriting your application.
It works at launch, then quietly gets worse as data and prompts change.
How we handle itScheduled evaluation runs and monitoring catch regressions, and we hand over the dashboards and runbooks.
We quote after a short scoping call and a fixed-scope first sprint, so you see a working version before committing to the full build.
No two integrations cost the same. These are the levers.
Senior AI engineers from $22/hr, working your US hours.
Model-neutral by design: we pick tools for your systems, not the other way round.
Models
Integration and orchestration
Data and retrieval
Languages and cloud
The people who scope your integration are the people who build it. No juniors learning on your budget.
We integrate with the CRM, ERP, help desk and databases you already use. Nothing has to be replaced to get value.
The integration layer lets you switch models as prices and quality change, with no rewrite and no vendor lock-in.
We build an evaluation set from your real cases before launch and track it after, so quality shows up in numbers.
Code, prompts, pipelines and dashboards are yours, with documentation and a clean handover.
Four hours of daily overlap with US Eastern, with live standups and a one-week risk-free trial.
Explore our other AI services
AI tools and offshore teams get you 80% of the way. Our senior engineers own the last 20%: security, architecture and production hardening, working your US hours.
Flexible engagement models — monthly, quarterly, or annual commitments
We have highly experienced and qualified AI Integration developers in our house to take care of your ideas. Click the button below and fill out your details for us to reach you. We would love to chat with you.
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Tell us about your project and we'll get back to you within 24 hours with a game plan.
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One senior engineer, AI-accelerated. Owns architecture, security, and the last 20% AI tools leave broken. No recruitment, no ramp-up.
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