What's included
reduction in manual data entry Mid-market SaaS & service businesses
What's included
The problem with disconnected systems
Most products start with a handful of tools that don’t talk to each other — a CRM here, a payment processor there, data copied by hand in between. When one tool updates its API or a manual step gets skipped, data goes stale silently and nobody notices until a customer does.
We treat integrations as software engineering, not one-off scripts. Every connection is mapped, error-handled, and documented so your systems stay in sync without someone babysitting them.
Deliverables
What's included
Strategy
Architectural alignment before implementation.
- System & data mapping
- Success criteria definition
- Risk & dependency review
Build
Controlled deployment of integration infrastructure.
- API development & connections
- Data sync & transformation
- QA & testing checklist
Handoff
Operational enablement and system ownership transfer.
- Technical documentation
- Team training
- Operational runbook
Support
Ongoing performance governance and system optimization.
- Sync monitoring
- Iteration cycles
- Performance adjustments
How we work
A process built for results
Clear milestones, constant communication, and zero hand-waving. Here’s how we get from disconnected tools to a system that runs on its own.
Discovery & Success Criteria
We map your current systems, identify where data breaks down, and define clear metrics for success.
Map Systems + Data Access
We document every data flow, identify API limits and auth requirements, and plan the connections. No surprises down the road.
Build + Test + Security Review
We build incrementally, test with real data, and review security and error-handling at every stage. You see progress weekly and can give feedback early.
Launch + Monitor + Iterate
We go live confidently. We monitor sync health, catch failures early, and optimize based on real usage data.
AI agents & internal tools examples
See what's possible
Real scenarios we’ve built for teams like yours.
Lead Sync & Enrichment
- Cleaner leads, faster handoff
Payment & Invoice Sync
- Fewer manual entry errors
Platform Data Sync
- Real-time, reliable reporting
FAQ
Common questions
Everything you need to know before we start working together.
Does ChatGPT Search work the same way Google does?
Not exactly. ChatGPT Search can use multiple retrieval and crawling pathways rather than depending on a single index. Checking whether OpenAI’s OAI-SearchBot can crawl your site may help improve eligibility, but it isn’t the only factor, and it doesn’t guarantee inclusion.
Why does product feed and structured data quality matter?
AI shopping visibility can be influenced by machine-readable product information — schema markup, identifiers, availability status, pricing — especially when a system is comparing options. Structured data can help systems interpret this information, but it alone doesn’t guarantee a product will be cited or recommended.
How should I interpret the Shopify and Adobe statistics?
As directional evidence that AI-referred shopping traffic can convert well, not as a guarantee. Shopify’s figures are platform-specific Q1 2026 data; Adobe’s compare AI-referred to non-AI traffic on U.S. retail sites in March 2026. Results vary by store, category, and time period, and shouldn’t be generalized as a promise for every store.
Can a small store realistically compete with bigger retail brands here?
Small stores can still improve their chances, because advertising budget is not the only factor involved. Clear product data, crawl accessibility, relevant content, customer reviews, and independent references are all areas that smaller retailers can improve over time, regardless of budget.
How do I test whether my store shows up in AI shopping answers?
Use the seven-step testing routine above — same prompts across multiple platforms, several phrasings, logged conditions, and repeated more than once before drawing conclusions. A single search isn’t a reliable test.
What's the difference between being mentioned, cited, and recommended?
That’s exactly what our discovery process is for. We’ll help you identify the highest-impact opportunities based on time savings, error reduction, and strategic value.
Is there a guaranteed timeline for seeing results?
A mention just names your store. A citation links to or attributes information to your site. A recommendation actively suggests your store as a fit for the shopper’s question. They’re related but distinct, and tracking them separately gives a clearer picture than treating “AI visibility” as one single yes/no outcome.