Tiger Tail builds custom AI solutions for small and mid-size businesses. AI systems designed around your specific workflows, your data, and your existing software stack. Not a generic tool bolted onto a process it was never designed for. A working system built to do exactly what your business needs.
Book a 15-min speed audit →Of enterprise generative-AI pilots fail to deliver measurable revenue impact. The core reason: generic tools that were never integrated into real workflows or real data.
MIT, 2025Of AI projects without AI-ready data will be abandoned by 2026 (Gartner). Poor data quality is the leading reason AI projects fail.
Gartner / ForresterOf AI projects fail to deliver, twice the rate of traditional IT projects, mostly from poor integration and problems chosen before they were understood.
RAND, 2024McKinsey describes the future of enterprise AI as a mix of off-the-shelf and custom models orchestrated around a company's unique data and workflows. The model itself is about 15 percent of the solution. The other 85 percent is integration, workflow design, data pipelines, and change management. That is what we do.
AI systems built from the ground up around how your business actually operates. Not a generic chatbot or an off-the-shelf model pointed at your data. A purpose-built AI agent that understands your processes, works within your software stack, and handles the specific tasks your team currently does manually.
Connects AI capabilities to the systems your business already runs on. CRM, ERP, practice management, billing, communication tools. The AI reads from and writes to your real data rather than operating in isolation. This is what most generic tool implementations get wrong and what most AI projects fail without.
Foundation models fine-tuned on your proprietary data, your documents, your past decisions, and your domain knowledge. The result is an AI that knows your business the way a senior employee does, not the way a generic model trained on the internet does. This is where custom AI creates defensible competitive advantage.
Standalone AI-powered applications built for specific functions inside your business. Dashboards that surface insights from your data automatically. Internal tools your team uses daily that have AI built into the workflow rather than bolted on as a separate tab. Congruent Software documented a 90 percent reduction in data processing errors for one client after this type of build.
We dig into how your business actually runs and where time and money leak out.
We get inside your workflows, tools, and data to understand the real constraints.
We turn what we found into a prioritized plan and an AI readiness scorecard.
You get a clear roadmap, and we start building, with your first system live before week five.
We had tried ChatGPT, a couple of industry-specific AI tools, and one custom build from a freelancer that never got finished. None of it talked to our actual systems. Tiger Tail started by understanding how we work, built integrations to our CRM and document management platform, and delivered a system that handles the work those three tools were supposed to do. It has been in production for six months. We have not touched it.
Custom AI makes sense when a generic tool cannot fit your specific workflow, when you need AI to work with your proprietary data rather than public training data, or when the competitive advantage you want to build requires something nobody else has. If an off-the-shelf tool does 90 percent of what you need, we will tell you to use it. If it keeps failing at the 10 percent that matters most, that is when we build.
A focused first version typically takes 4 to 8 weeks from kickoff to production. More complex systems with multiple integrations or custom model training take 8 to 12 weeks. We deliver working software in stages rather than a single big launch, so you see real progress before the full system is complete.
Your data stays in your environment. We build on AI infrastructure that does not train shared public models on your business data. We sign data processing agreements before any work begins and we can deploy entirely within your existing cloud or on-premises infrastructure if required. You own all data, all models, and all code when we are done.
We build systems designed to run without constant intervention. Every handover includes documentation and training for whoever owns the system internally. For ongoing changes and maintenance, we offer retainer options. Most clients make minor adjustments themselves and call us for larger changes or new builds.
The AI Gameplan diagnostic is $5,000 for four weeks of discovery, data assessment, and technical scoping. Custom development engagements are priced during the Gameplan based on scope, integration complexity, and build time. We bill month-to-month with discounts for longer commitments. The intro call is free. We will tell you straight whether custom development is warranted or whether an existing tool would serve you better.
We will look at your operations, show you where AI can make the biggest impact, and give you a clear plan, whether you work with us or not.
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