AI service · AI Integration
AI Integration Services
The fastest AI wins usually live inside software you already own. We embed AI capabilities into your existing product and business systems — intelligent features in your SaaS, AI-assisted records in your CRM, smart document handling in your ERP — integrating with what's there instead of replacing it.
Free scoping call · Clear ROI plan before any commitment
The challenge
Your systems of record hold years of process and data, and nobody sane wants to replace them to 'get AI.' But the native AI add-ons vendors ship are generic and priced per seat forever, while your differentiated needs — your product's domain, your sales motion, your operational quirks — go unmet. Meanwhile product teams feel the pressure: customers are starting to ask where the AI features are.
How we solve it
We integrate AI at the seams your systems already expose — APIs, webhooks, extension frameworks, middleware — adding intelligence without destabilizing what works. For product companies, that means AI features shipped inside your existing architecture with your existing team's ability to maintain them. For operators, it means your CRM enriches itself, your ERP reads its own documents, and your helpdesk drafts its own replies. Scoped tightly, deployed behind flags, and rolled out without downtime.
Capabilities
What we deliver
The building blocks of a production-grade ai integration engagement.
AI features for existing products
Copilots, semantic search, summarization, and intelligent defaults embedded into your SaaS or internal product — shipped within your current architecture and release process.
CRM intelligence (Salesforce, HubSpot)
Auto-enriched records, call and email summaries, next-best-action suggestions, and AI lead scoring inside the CRM your team already lives in.
ERP & accounting automation
Document-to-record automation, matching, and anomaly flagging integrated with NetSuite, Dynamics, QuickBooks, and custom ERPs through their supported APIs.
Helpdesk & communication AI
Draft replies, ticket classification, and knowledge suggestions wired into Zendesk, Intercom, Slack, and Teams — augmenting agents rather than replacing tools.
AI middleware & API layer
A governed integration layer — model routing, caching, logging, PII handling, cost controls — so every system gains AI through one managed, auditable gateway.
How we work
A clear path to production
Five stages, each with visible output — you're never waiting on a black box.
Discovery & scoping
We map the problem, success metrics, constraints, and existing systems before writing code. You leave with a clear scope, timeline, and a fixed view of what 'done' means.
Architecture & design
We design the system end to end — data model, integrations, security, and a path to scale — and validate it against your real workloads, not a demo.
Iterative delivery
We ship in short, reviewable increments. You see working software every sprint, give feedback early, and never wait months to find out it missed the mark.
Hardening & launch
Testing, observability, performance, and security are built in, not bolted on. We launch with monitoring in place and a rollback plan ready.
Support & iteration
After launch we stay on — measuring outcomes, fixing fast, and iterating on what the data tells us actually moves the metric.
Representative stack
- Claude (Anthropic) / OpenAI APIs
- Salesforce / HubSpot APIs
- NetSuite / Dynamics / QuickBooks
- Zendesk / Intercom / Slack
- Model Context Protocol (MCP)
- TypeScript / Python
Where it applies
AI Integration in the industries we serve
Vertical context changes what good looks like — see how this capability lands in your space.
E-commerce
High-performance commerce, headless storefronts, and AI personalization that lift conversion.
Explore E-commerceFintech
Payments, lending, and financial platforms built for security, reliability, and compliance.
Explore FintechLogistics
Tracking, routing, and warehouse software with real-time data and AI-driven optimization.
Explore LogisticsAnswers
Frequently asked questions
Can you add AI to our system without disrupting daily operations?
Yes — that constraint shapes the whole approach. We integrate through supported APIs and extension points, test in sandboxes against production-shaped data, and roll out behind feature flags to a pilot group first. Your team keeps working in the tools they know; the tools just get smarter.
Our platform already ships AI add-ons. Why build custom integration?
Native add-ons are worth evaluating, and sometimes they're the right call — we'll say so. Custom integration wins when you need your data and workflow reflected (not a generic model of them), when per-seat AI pricing breaks at your headcount, or when the capability spans systems a single vendor's add-on can't reach.
How do you keep our business data safe when integrating AI?
Least-privilege API access, PII redaction before model calls where required, zero-retention API configurations with model providers, and full audit logging through the middleware layer. For regulated workloads, inference can run in your own cloud so data never leaves your boundary.
How fast can an AI integration go live?
Focused integrations — CRM summaries and scoring, helpdesk draft replies, document-to-ERP intake — typically ship in 3–8 weeks because the surrounding system already exists. Product-embedded AI features vary with your architecture; a first shippable feature is usually a one-to-two sprint scope after discovery.
Ready to build with AI Integration?
Book a free consultation and we'll map the fastest path to a working system — with the metric that proves it.