AI services · new for 2026
Built for institutions that need AI that actually earns its keep.
Higher ed, government, and enterprise clients call us when they want to operationalize AI without losing control of data, governance, or budget. Production-grade RAG systems grounded in your content. Agents that integrate with your CMS and CRM. GEO strategy that makes your site quotable by ChatGPT and AI Overviews. And the honest “no” when AI isn’t the answer.
New for 2026 · AI services
AI that actually works for your organization.
Most agencies are selling GPT wrappers. We design AI systems that fit your governance, respect your data, and quietly earn their place in the workflow. And we’ll tell you, out loud, when AI isn’t the answer.
01 · STRATEGY
AI Strategy & Readiness
A 4–6 week engagement: where AI fits in your org, where it doesn’t, and what the next 12 months should actually look like. Governance frameworks, ROI models, risk register, and a roadmap your board can defend.
- Stakeholder & editor interviews
- Data & content audit
- Use-case matrix with ROI
- Governance & policy framework
02 · BUILD
Custom AI Platforms
Chatbots that don’t hallucinate, RAG systems grounded in your content, agentic workflows.
03 · INTEGRATE
AI Integration
Plug practical AI into the tools you already run: Drupal, WordPress, HubSpot, Salesforce.
THE QUIET PART
We’ll tell you when AI isn’t the answer.
Half the AI work we do is talking clients out of bad AI ideas. Information architecture, taxonomy, and good old-fashioned editing solve more problems than people think. We’d rather lose the AI fee than ship you a chatbot that embarrasses your brand.
04 · DISCOVERY
AI-Ready Content (GEO)
llms.txt, schema, semantic content models, and the editorial guidelines that make your site quotable by ChatGPT, Perplexity, Gemini, and Google’s AI Overviews.
RECENT · BROWARD COLLEGE
87%
of inbound admissions questions answered without a human, by a RAG system grounded entirely in Broward’s catalog and financial-aid docs. It has never made up a deadline. We’re proudest of that part.
What clients say in writing
KWALL did an excellent job and had an intuitive knowledge of our project that built on attributes of similar websites that we admired. KWALL’s work was quick and thorough, and everyone at KWALL was easy to work with and friendly.
FAQ
Questions worth asking.
What’s a RAG system and does my institution actually need one?
RAG (Retrieval-Augmented Generation) is an architecture where an AI model answers questions by retrieving content from your own documents or CMS first, rather than relying on its general training data. It’s the right approach when you need an AI assistant that gives answers grounded in your specific policies, catalog, or content, not hallucinated general knowledge. Whether you need one depends on your use case; we’ll tell you honestly if it’s overkill.
How do you handle data governance and FERPA compliance in AI projects?
We design data boundaries into the architecture from the start: what data sources the AI can access, how queries are logged, how PII is handled, and what the retention policy is. For higher-ed clients, FERPA compliance is a first-class requirement, not an afterthought. We review data handling practices with your legal or compliance office before any system goes to production.
What does GEO strategy mean and why does it matter for my site?
Generative Engine Optimization is the practice of structuring your content so that AI tools like ChatGPT, Perplexity, and Google AI Overviews cite your site when answering questions in your domain. It involves structured data markup, citation-ready content formats, authoritative page structure, and entity clarity. Institutions that invest in GEO now are establishing citation authority before the space consolidates.
Do you work with OpenAI, Anthropic, or open-source models?
All three. We match the model to the use case, budget, and data governance requirements. OpenAI and Anthropic for most production applications; open-source models (Llama variants, Mistral) for clients with strict data residency requirements who can’t send data to third-party APIs.
What does an AI integration with our CMS actually look like in practice?
Common implementations include AI-assisted content drafting tools built into the editorial interface, chatbots trained on your site content for prospective student or citizen Q&A, and automated content tagging or classification. We scope each integration against your existing CMS architecture, Drupal or WordPress, and your team’s technical capacity to maintain it afterward.
How do we know if AI is actually the right solution for what we’re trying to do?
We start every AI engagement with a discovery conversation before proposing a build. If the problem you’re solving can be addressed with better search, smarter content strategy, or a simpler automation, we’ll tell you. We’ve passed on AI work when it wasn’t the right answer. That’s part of why clients trust us with the projects where it is.
On the work beneath the work
Our work with KWALL isn’t just a CMS change. It’s been a capability change: components, accessible markup, and authoring that delivers quality by default.
Made it to the bottom? You’re our kind of person.
Two ways from here. Skim the work and see if we’d be a fit, or send a quick note through the form. The founder reads them.
p.s. we will respond. by Tuesday at the latest.