AI Integration · Services
Six places AI earns its keep inside the business you already run.
CRM, email marketing, support, document workflows, internal automation, custom agents — engineered into the tools your team already adopted. No rip-and-replace. No vendor theatre. Proof in thirty days.
What we mean by “AI integration”
Most companies don’t need another AI product. They need AI inside the products they already pay for. The CRM the sales team finally adopted. The ESP the marketing team standardised on. The helpdesk support runs in. The shared drives where contracts and invoices live. That’s where the data is, where the workflows live, and where AI either earns its keep or doesn’t.
Our work is the integration layer — the engineering that takes a model (Claude, GPT, an open-source one in your own cloud) and welds it to the system that already runs your business. Below are the six service lines we ship today.
CRM
AI for CRM
Lead scoring, deal-risk signals, conversation summary, next-best-action — native to HubSpot, Salesforce, Zoho, Pipedrive, Dynamics, or custom.
AI for Email Marketing
Subject-line generation, predictive open-rate scoring, behavioural segmentation, send-time optimisation — on Mailchimp, Klaviyo, ActiveCampaign, HubSpot.
Support
AI Support Agents
Tier-1 triage, ticket classification, knowledge-base answering, intelligent escalation in Zendesk, Intercom, Freshdesk, HubSpot Service Hub.
Docs
Document Intelligence
Contract review, invoice parsing, PDF extraction, document classification — trained on your documents, not the open web.
Workflow
AI Workflow Automation
Cross-system orchestration — CRM to ERP to billing to support — with AI decisions inside the workflow, not bolted on after.
Custom
Custom AI Agents
Domain-specific agents built for your operators — the work that doesn’t fit a SaaS template. Designed, deployed, documented to hand back.
How we work — the 30-day proof-of-value model
We don’t sell six-figure pilots on faith. Every engagement starts with one integration, one team, one measurable outcome, thirty days.
- Days 1–7 — Map the surface area. We sit with your operators, audit your stack, and recommend the three highest-leverage integrations for your business. You pick one.
- Days 8–21 — Ship in production. The integration goes live for real users on real data. Observability, audit logs, cost ceilings, and rollback are in from day one.
- Days 22–30 — Decide together. Measured outcome against the metric we agreed on. If it didn’t move, we tell you. If it did, we plan the next three integrations on a schedule your team can actually absorb.
One integration, one team, 30 days
No bundled pilots. No retainer-locked discovery. Fixed scope, fixed price, told to you on day one.
What stays under our floor on every integration
- No rip-and-replace. Your CRM, ESP, helpdesk, and document store stay where they are. AI runs alongside.
- You own the data and the model choice. Vendor API, your cloud, or fully on-prem — your call, with our recommendation.
- Cost ceilings engineered in. Per-request budgets, daily caps, caching, model-tier routing. Cost runaway is the most common AI failure mode; we engineer against it from day one.
- Built to hand back. Documentation, training, source. Your engineers can take it over. We are not building a dependency.
Where we’re based
Engineering since March 2006 in India. Offices in Visakhapatnam (engineering) and Stanford, California (client engagement). Twenty years of production software practice in a domain where most vendors don’t have two.
Frequently asked
Can we start with just one of the six services?
Yes — in fact that’s the default. The 30-day model is one integration, one team. Most clients start with CRM or email marketing because the ROI shows fastest. We layer the others in over the following quarters.
What if our stack isn’t on your list?
If it has an API, we can integrate. Our pages list the most common stacks because those are the most asked about. Custom CRMs, in-house ERPs, niche industry platforms — we’ve worked with all of those.
Who do you typically work with?
Funded mid-market companies in developed markets that have real revenue, real systems, and no AI inside them yet. SaaS, professional services, e-commerce, financial services, healthcare operations — see our industries page for the full list.