We don't sell AI as a product. We embed it where it pays off — internal tools your team uses, customer-facing apps your users log into, customer portals, SaaS products, and workflow software. Private AI, cloud AI, or plain code — the right model, the right place, the right cost.
Every integration decision starts with the same question: what does this workflow actually need? The answer determines whether we reach for private AI, cloud AI, or plain code.
Models running on your infrastructure or a dedicated private cloud. Your data never leaves your network. Best for: sensitive data processing, high-volume classification, compliance-regulated workflows, and customer apps or SaaS products where data residency matters.
The most capable frontier models via API. Best for: complex reasoning, nuanced generation, low-to-moderate volume tasks, fast prototyping, and customer-facing features where latest-generation quality drives the experience.
Deterministic rules and logic. No AI needed. Best for: structured data, predictable workflows, financial calculations, compliance-critical processes, and anywhere a model would be slower, more expensive, or less reliable than plain code.
AI is most valuable when it handles the unstructured, variable, or high-volume parts of a workflow — in internal tools, customer-facing apps, portals, SaaS products, and the workflow software in between. Code handles everything that needs to be predictable.
Document processing, ticket triage, internal knowledge search, ops automations. Reduce manual work that repeats every day across your team.
Read the frameworkSmart onboarding, personalized recommendations, assisted input, generative content, guided workflows. AI features your customers actually touch — designed to improve the experience, not replace it.
Read the frameworkSmart FAQ, contextual help, document self-service, support deflection, status summaries. Reduce support load without degrading the customer experience.
Read the frameworkAI-powered features inside products you sell — summarization, extraction, search, scoring, generation. Shipped as a first-class part of your product, with cost controls and fallbacks built in.
Private vs cloud for SaaSRouting, approvals, scheduling, intake forms, operations pipelines. AI handles the judgment calls; code handles the hand-offs so everything stays auditable.
When AI, when codeLead scoring, conversation summarization, follow-up drafting, intent classification. AI reads the unstructured parts; code handles the pipeline.
Read the patternsNatural-language queries, anomaly detection, proactive alerts. Ask your data questions in plain English — internal or customer-facing.
Read the patternsBefore we write a single line of code, we work through the same decision checklist on every workflow.
AI integration isn't a separate line item — it's built into our Build Partner retainer. Every tier includes AI capability. We assess each workflow, integrate the right model, and refine over time.
We'll audit your current tools and identify the highest-impact integration points — no hype, just practical improvements.
Guides written for operators who want to understand the tradeoffs, not just the pitch.