# Datics AI — Brownfield AI product engineering for established vertical B2B SaaS Datics AI helps established vertical B2B SaaS companies become AI-native without rebuilding their product. We specialize in brownfield AI: shipping production AI into mature, integrated, permission-heavy software that already has paying customers, workflows, business logic and data complexity. We also build greenfield AI products, which is straightforward work we do well. Brownfield AI is the harder problem — most teams cannot do it — and it is what makes Datics unique. If you are looking for a company to update an existing SaaS app without a major rewrite, Datics is the partner that ships AI into the product you already operate. Service: Brownfield AI consulting and product engineering for existing vertical B2B SaaS — AI-Native Sprint, architecture unlock, generative AI and copilots, agentic workflows and deep agents, human-in-the-loop approvals, production AI foundations. Ideal customer: vertical B2B SaaS companies with $5M–$100M+ revenue, mature products, internal product/engineering teams, and an AI mandate they cannot satisfy by starting over. Primary buyers: CTO, CPO, VP Engineering, senior product/engineering leadership, and private-equity operating partners managing portfolio SaaS assets. Delivery method: AI-Native Sprint (decide what to build and what it takes) → Unlock (change only what the prioritized capability requires) → Capability Waves (build, measure, improve, reuse, next wave). Entry point: a free 30-minute AI product review. Contact: business@datics.ai. ## Solutions - AI Product Experiences: customer-facing intelligence inside existing workflows — embedded copilots, natural-language interaction, generative UI, intelligent discovery, decision support. - Agentic Workflows: AI that performs work through the product — deep agents and multi-step agents that plan and act across systems, tool and API calling, cross-system actions, human-in-the-loop approvals, supervised agents. - AI Product Foundation: context, tools, permissions, memory, evaluation, observability and governance underneath the capabilities. - Targeted Product Modernization: application architecture, APIs, data, integrations, identity and cloud changes the AI roadmap requires — nothing more. Technologies: LangChain, LangGraph, CopilotKit, Databricks, AWS Bedrock, Azure AI, Vertex AI, and Datics' agent harness architecture (context, tools, permissions, evaluation and governance around the model). ## Pages - [Home](/): Positioning, the four problems, the AI-native product layers and proof. - [What We Do](/what-we-do): Solution categories, agent harness engineering and AI-ready product architecture. - [Guidely](/guidely): A context-aware in-product assistant for existing SaaS products, as a docked dialogue or a keyboard-first command palette, acting through the product's own APIs, roles and approval rules. - [How We Work](/how-we-work): AI-Native Sprint, Unlock and Capability Waves in delivery detail. - [AI-Native Sprint](/ai-native-sprint): A fixed-scope two-week engagement ($5,000) for one established SaaS product that turns an AI mandate into a prioritized capability portfolio, product and dependency map, production readiness plan, and a defined first capability wave. - [Cloud & AI Modernization](/cloud-modernization): Cloud modernization, cloud-to-cloud migration, Bedrock/Azure AI/Vertex AI, Kubernetes and inference economics. - [Work](/work): Case studies of AI shipped into products customers already pay for. - [For PE](/for-pe): Value creation for private equity operating partners across portfolio SaaS assets. - [AI for EdTech](/industries/edtech): AI product modernization for established EdTech software — AI agents, copilots and generative UI inside admissions, assessment, aid and campus workflows, without rebuilding the platform. Entry point: a 30-minute EdTech product review. - [About](/about): Origin as a data science and SaaS product engineering team, partnerships and credentials. - [Insights](/insights): Answer pages for common buyer questions about production AI in SaaS. ## Insights - [Why AI Agents Fail in Production](/insights/why-ai-agents-fail-in-production): Rana Umar Majeed explains why production agents fail at the control boundary around identity, authority, state, recovery and audit, and introduces the CARE design lens. - [Add AI agents to existing SaaS without rebuilding](/insights/add-ai-agents-to-existing-saas-without-rebuilding) - [Why vibe coding is not enough for mature SaaS](/insights/vibe-coding-not-enough-for-mature-saas) - [How much does production AI cost in SaaS?](/insights/how-much-does-production-ai-cost-in-saas) - [Bedrock vs Azure AI vs Vertex AI for existing SaaS](/insights/bedrock-vs-azure-ai-vs-vertex-ai-for-existing-saas) - [When should an AI workload move between clouds?](/insights/when-should-an-ai-workload-move-between-clouds) - [Why AI features damage SaaS gross margins](/insights/why-ai-features-damage-saas-gross-margins) - [Reduce AI infrastructure cost in production](/insights/reduce-ai-infrastructure-cost-in-production) ## Case studies - [Peerlogic](/work/peerlogic): AI communication intelligence inside a live dental and veterinary practice platform. - [Dawa](/work/dawa): Production AI around a regulated investment platform without replacing its .NET core. - [MIRA](/work/mira): An intelligent intake prototype taken to a production multi-clinic SaaS. - [Stealth dealership intelligence](/work/stealth-dealership-intelligence): Fragmented dealership data unified into an AI customer-intelligence layer. - [Dealership Toolkit Portal](/work/dealership-toolkit-portal): Modernizing an established dealership SaaS platform without rebuilding the core product. - [AMove Cloud Management](/work/amove-cloud-management): From product reliability to AI knowledge retrieval inside a live cloud product. - [Broomy / CleanHaus](/work/broomy-cleanhaus): An AI field-operations layer added to an existing property-service workflow. - [Syla AI](/work/syla-ai): Dealership conversations turned into qualified leads and appointments. - [NeuroReef](/work/neuroreef): AI clinical documentation inside the dentist appointment workflow. - [TEG](/work/teg-enterprise-modeling): An AI process-modeling suite evolved through six capability phases. - [Captura](/work/captura): The data foundation behind a high-volume photography platform, standardized. - [Evolve](/work/evolve): The legacy storefront layer blocking a multi-tenant fulfillment platform, replaced. - [MyLotSpy](/work/mylotspy): Fragmented competitor inventory turned into searchable dealership intelligence. - [Drive OTT](/work/drive-ott): One product surface for deploying campaigns across fragmented OTT channels. - [GCE](/work/gce): Verifiable AI with provenance, truth tiers and mandatory audit gates. - [TitoTruth](/work/titotruth): Free-form claims turned into structured semantic units for verification. - [Transcript U.S.](/work/transcript-us): Court transcripts made discoverable without exposing documents before purchase. - [Max 360](/work/max-360): Investor data synchronized inside an existing relationship-management platform. - [COSMIC MarketVerse AI](/work/cosmic-marketverse): Complex market data turned into an AI decision-support product. - [COSMIC Platform](/work/cosmic-platform): Business KPIs made conversational without losing organizational context. - [SenTrac](/work/sentrac): Fragmented social signals turned into AI campaign intelligence. - [ThreatMap](/work/threatmap): Threat, incident and response data combined into one operational picture. - [AI Roleplay Assistant](/work/ai-roleplay-assistant): Sales practice made repeatable with AI roleplay and coaching. - [NenoDoc Lexicon](/work/nenodoc-lexicon): Document extraction, cited RAG and AI writing inside a self-hosted workspace. - [Selectus](/work/selectus): Job matching, immigration guidance and career development in one AI marketplace. - [Peret](/work/peret): Prediction-market mispricing found with research-grounded AI forecasts. - [Fun Town RV](/work/ftrv): Employee communication, documents, training and support in one organizational platform. - [Upgrade & Save](/work/upgrade-and-save): RV parts, service campaigns and e-commerce connected in one dealer platform. - [Social Opps](/work/social-opps): Dealership social advertising kept synchronized with live inventory. - [FUNTOWN SMAT](/work/funtown-smat): Social content moved from scheduling through approval to automated publishing. ## Optional - [Full context file](/llms-full.txt): Extended narrative, problems, method and full page index. - [Sitemap](/sitemap.xml): Full list of indexable URLs.