We design and build AI products with a human touch — assistants, knowledge systems, and the quiet automations that make a team faster. The kind of work people actually want to use.
The capability is already here — that part is settled.
The hard part is the judgment to deploy it well.
And a system nobody trusts simply goes unused.
Three things, done properly. Each one stands on its own — together they compound. Every engagement is led and delivered by the person who designed it.
Assistants designed like products, not chatbots bolted onto a form. We shape the voice, draw the boundaries, and build the escalation paths — so the thing is genuinely helpful and knows when to hand off to a human.
Make everything your company knows findable and trustworthy. We design how knowledge is organized, surfaced, and governed — so the answers people get are accurate, current, and show their sources, instead of confidently making things up.
The repetitive work — resizing, formatting, first drafts, checks — handled. Built alongside the people who'll actually use it, so it fits the tools they already live in and earns its place instead of gathering dust.
The shape and scale of a typical engagement, across industries. Real numbers from real builds — specific clients shared on request.
Trained on docs, changelog, and 18 months of closed tickets, then put where customers already were — the Slack community and the help-center widget. It knows what it knows, and escalates the rest.
A 180,000-article archive that traffic had forgotten. We built the embedding pipeline and the editorial & reader surfaces that turn evergreen stories back into something people read.
Briefs, memos, and correspondence made searchable with citation tracking — every answer links to the source document and page, mapped to the firm's existing confidentiality structure.
A Figma-integrated template system with AI copy variation, automated export, and brand compliance baked into the pipeline — so the design team spends its time on the work only people can do.
Four ways in. Most start with a sprint — a low-risk way to get a clear read before anyone commits to a bigger build.
An honest audit of where AI actually helps, an opportunity map, and a roadmap you can act on. You leave with clarity — whether or not we keep working together.
A defined scope and a fixed outcome: a production-ready system, designed and built end to end, with the documentation your team needs to run it after we go.
We become your fractional AI team — iterating on what's live, building the next thing, and keeping an eye on quality as priorities shift through the year.
Hands-on upskilling so the capability lives in-house, not just with us. Run it on its own, or alongside a project to help your team carry the work forward.
Teams that generate a lot of knowledge and content, and have real human expertise that's hard to scale. Eight industries we know well.
A senior studio with deep capabilities across the surface of an AI build — design, engineering, knowledge, and data.
Pendium is led by Chris Wallace and delivered by a core team of senior designers, engineers, and data specialists, extended by a trusted network we scale up around the demands of each engagement. You get the focus and directness of a small studio with the depth of a full agency — no junior relay, no capability gaps. Every engagement includes a principal who stays accountable end to end, weekly updates, and a real handoff: documentation, a runbook, and a check-in after launch.
Let's talk
Send a brief, a half-formed idea, or a single line. We'll come back with an honest read of the problem and the moves we'd make — usually within two working days.
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