Every team has AI now. Most of the work still runs the old way.We build AI agents and software into the handoffs, re-keying and approvals that fill your team’s week. You own all of it.
Everyone gets faster. The handoffs pile up.
Where it stalls: the handoffs between people.
Six months on, it’s still a slide.
Where it stalls: nothing gets built.
The demo works. It never plugs in.
Where it stalls: your real systems.
Each of those moves skips a layer. We build all three, the screens your team works in, the workflow and AI behind them, and your systems connected underneath, around how your team works. That used to take an enterprise budget. It doesn’t anymore.
An exploded drawing of three stacked layers. On top, the interface: an app window with a queue of work on the left, each row carrying its own status, and a detail card on the right where a finished result has landed. In the middle, the logic layer: six steps wired in two branches that both run forward into a final step. Three are marked with a star and run on AI, two are rules, and one carries a person and stays a human decision. Underneath, the data layer: one wide record of fields that every link from the layers above lands on, ringed by eight of the tools the team already works in, two set into each edge of the layer, drawn as an inbox, a chat window, a calendar, a set of files, a spreadsheet, an invoice, a contact record and a database, each wired into the record. A job drops from the interface into the logic layer, down to the data, and comes back up as a finished result.
The screens where the work happens, shaped around your process instead of someone else's product. It is also where your team sees what the AI did and signs off on it.
So something ships: software your team opens every day, not a slide.
This is where the work gets done. AI reads, drafts and checks. Your people keep the decisions, following the rules your business already runs on.
So work moves between people instead of piling up at the handoffs.
Your own data, plus the email, files and systems your team already works in, all feeding one place. Work is multiplayer, so every layer above reads the same facts and nobody, human or AI, works from a stale copy.
So it runs on your real systems, not a copy set up for a demo.
Figuring out where AI works best in your business? Check out Jumpstart
Put an agent on one task, map one process, or build the system the whole business runs on. We stay with you from the first call to the rollout.
Pick a proven AI agent and we fit it to your systems, live in 3 to 6 weeks.
Agent catalog
Custom to you
Humans in the loop
Yours to keepA few weeks to map how your work moves, find where AI pays off, and prototype it.
Process Mapping
Analysis & Strategy
Prototype
RoadmapA lean team that builds your roadmap into production software, and stays after launch.
Operations Strategy
Design
Engineering
Change ManagementStart from your industry, or from the function where the work piles up. Either way, we've probably built it before.
Plenty of our work starts inside a single department. If that's your seat, start here.
Approvals chased, reports reformatted, numbers re-keyed by hand. Here’s what changed when that work went to AI agents and software.
Specialty lending
The day the spreadsheets retired
AI supports the team with underwriting and compliance, all in one place.
4×faster loan close$950koperating costs cut
Read the case study →
SaaS customer success
Eight sources. One customer.
AI reads the signals. Success managers run the relationships.
3×accounts per CSM$1.4Mrenewals saved in year one
Read the case study →
HR operations
Day one. Fully onboarded.
AI orchestrates the handoffs across every system.
1 dayoffer to fully onboarded12 hrsa week saved per HR ops
Read the case study →
What does busywork cost your team?
Fresh thinking on building an AI-first company, plus templates you can put to work this week.
Nobody delegates the training montage. AI is turning inefficiency from a tax to a countdown. Here's why.
Read the post
Our CEO on AI for the C-Suite with Chad Harvey: why most companies are getting AI wrong, and the difference between AI that helps one person and AI a whole team works from.
Watch
Six visual explainers for the people who run the business: AI strategy, workflow first, buy vs build, MCP, AI and your data, and multiplayer AI. Each takes one term, shows what it changes for your team, and gives you the plain version to use in your next meeting. Free and ungated.
Explore the guideBring us a workflow, a department, the whole company, or just a hunch. We'll tell you where AI fits, where it doesn't, and what's worth doing first.
Switchboard has been an exceptional partner for our technology and automation work. They consistently act like a fractional CTO and it feels like having a trusted advisor always in our corner, dedicated to helping us grow smarter and faster.
Switchboard is the most impactful partner our company has ever worked with. Beyond delivering features, they've helped us shape how we operate and make decisions. Their mix of technical depth, craftsmanship, and strategic thinking has been essential to our growth. They function as a true extension of our company, helping us move faster without losing precision. I honestly can't imagine building without them.
We primarily partner with mid-market teams, usually 100 to 1,000 people, growing fast enough that they need a proper plan around AI and operational improvements that lead to meaningful ROI. Operational patterns repeat across industries, and because our own delivery runs on AI, we get fluent in whatever's unique to you in weeks, not quarters.
Engagements start with a Jumpstart, affordable, fixed-scope, and fixed-price for mid-market businesses. Deployment Studio engagements run as monthly retainers sized to the work. We'll quote both very quickly after we chat.
A Jumpstart runs two to eight weeks depending on scope. One workflow takes two to four. A whole team, four to six. The whole company, six to eight. Most teams continue with a Deployment Studio engagement after, which ships working software on a regular basis with a scope you control.
Yes. Everything we build lives in your repos, on your infrastructure, with your team. We hand off cleanly and document as we go.
Not at all. The Jumpstart exists because most teams don't. We map how your work actually runs, then figure out together where AI fits, where it doesn't, and what to build first. Want to chat about the best approach for you? Book a call.
Change management is as important as the technical work. Software your team won't use is the most expensive kind to build. The same pod that built the system runs the rollout.
We start with a pilot group on real workflows. We watch what works, what doesn't, and what people quietly stop using. Expand from there. For the first 30 days after launch, adoption friction gets treated as urgent product work, not a training problem.
People don't resist change. They're protecting throughput. Our job is to build something worth switching to, then stay close while your team makes the switch. Learn more about our process here.