The company we're building
Built by contact center veterans tired of broken AI promises, Adaptive AP uses AI workers with transparent pricing and zero bureaucracy. See how we operate.
We’ve run contact centers. Not the kind where you tour the floor once a quarter and nod at the dashboards. The kind where you take the 2am escalation call yourself because your best agent just quit and the queue is 47 deep.
We’ve defended CSAT scores in Monday morning meetings. We’ve negotiated with vendors who promised AI and delivered a chatbot that couldn’t handle “I need to talk to someone.” We’ve watched the industry spend a decade bolting technology onto broken processes and calling it innovation.
We started Adaptive AP because we got tired of watching from the inside.
What we actually believe
Customer service has always been a simple problem with a hard execution: get the right answer to the right person as fast as possible — and know when that person needs a human, not a script.
That’s not a technology problem. It’s an operations problem. And we solved it the way operators solve things: by building something that actually works in the real world, not just in a demo.
Our AI workers handle the volume. They use your tools. They take real action. And they hand off to your team the moment a conversation needs a human touch.
We’re not here to replace your people. We’re here to make sure they’re only doing the work that actually needs them.
25 people. 5 functions. Zero politics.
We are deliberately small. Not because we can’t raise money — because we don’t need to be big to be effective.
Our team is 25 people organized into five functions:
- Product — what we build and why
- Engineering — how we build it and keep it running
- Go-to-market — how the world finds us
- Customer success — how we make sure it works after day one
- Operations — how we run the company itself
That’s it. No VP of VP layer. No chief-of-staff to the chief-of-staff. No committee that reviews the output of the committee. Every person ships. Every person talks to customers. Every person can explain what we do and why it matters in plain language.
We have one meeting cadence. We have one communication channel. We have one set of priorities that everyone can see. When something needs to change, it changes — not in the next sprint planning session, not after the stakeholder review, but now.
This isn’t a philosophy we aspire to. It’s how we actually operate, today, at this size, on purpose.
An AI-first workforce
Every person at Adaptive — not just engineers — works with agentic AI tools as their primary workflow. Our go-to-market lead ships website changes with Claude Code. Our customer success team uses AI to analyze conversation patterns. Our ops team automates reporting with the same tools we sell.
We use Cursor, Claude Code, Replit, and Kiro — not as experiments, but as our daily operating system. We ship faster than teams ten times our size because we use the same technology we sell.
This has a consequence that most companies aren’t ready for: when AI scales your output, the traditional role hierarchy breaks down. A go-to-market lead who can ship code, write copy, analyze data, and deploy infrastructure isn’t a marketer — they’re an operator. Same for engineering. Same for product.
That’s why everyone at Adaptive makes the same money. $500K total comp, all benefits paid, regardless of function. The bottleneck isn’t the role. It’s the person. We hire people who’ve already proven they can build with agentic tools, and we pay them like the force multipliers they are.
The Salesforce moment for AI
Before Salesforce, CRM was an enterprise project. Six-figure implementations. Months of consulting. IT departments as gatekeepers. A company with 50 employees couldn’t touch it.
Salesforce changed that. They put CRM in a browser and charged by the seat. Suddenly any business with a credit card could manage their customer relationships like an enterprise. It wasn’t just a pricing change — it was a democratization of capability.
We believe AI-powered customer experience is at the same inflection point.
Today, if you want AI in your contact center, you’re looking at Cognigy ($30K+ annual minimums, months of implementation), or Zendesk AI ($55–169 per agent per month plus per-resolution fees), or Salesforce Einstein ($125 per user per month plus a $50K–150K implementation engagement), or building something custom on Amazon Connect and hoping your engineering team can figure out the integration layer.
None of these are accessible to a 200-person BPO that just wants to handle their overnight volume. Or a real estate company that loses leads because nobody picks up after 6pm. Or a genealogy company whose agents burn out on routine questions when they should be handling the conversations that actually need a human.
We charge $0.15 per minute for AI chat. $0.50 per minute for AI voice. No platform fees. No seat charges. No annual contracts. No implementation project. Your first AI worker goes live in an hour, built with you on the call, by someone who’s actually run a contact center.
That’s the Salesforce moment. Not just cheaper — accessible.
What we’ve managed, and why it matters
Our executive team has collectively managed over $500 million in CX operations. We’ve worked at Amazon Connect, Verint, Calabrio, Intuit, Airbnb, and Capital One. We’ve been product managers, contact center operators, and engineering leads.
We don’t mention this to impress anyone. We mention it because it’s the reason the product works.
Every design decision, every handoff flow, every escalation rule, every pricing structure in Adaptive was built by people who’ve been on the receiving end of a bad vendor decision. We know what it feels like to deploy a platform that demos beautifully and breaks in production. We know what it costs when a customer waits too long, gets transferred twice, and still doesn’t get an answer.
We built Adaptive so that nobody has to sit through that again.
The uncomfortable truth about this industry
Most AI customer service companies are technology companies that hired a few CX advisors. They build for the demo. They optimize for the investor pitch. They charge per resolution because it sounds outcome-based, even though a “resolution” is just a conversation where the customer stopped replying.
We’re an operations company that builds technology. We optimize for the Monday morning meeting where someone has to explain why CSAT dropped. We charge per minute because a minute is a minute — you always know what you paid for and why.
That difference sounds small. It’s everything.
What’s next
We’re in stealth. Deliberately. We’re not raising a Series A to hire 200 people and figure out product-market fit later. We’re 25 people, we’re profitable on unit economics, and we’re growing by proving value one customer at a time.
Every customer gets a Live Build — one hour with our team, building their first AI worker together, connected to their actual tools, handling their actual use case. We load 1,000 minutes before the call ends. That’s roughly 400 customer interactions.
We only offer this because we know what happens when people actually use it.
If you’ve been on the wrong side of a vendor relationship — if you’ve been promised AI and delivered a chatbot — we built this for you. Not as a pitch. As something real.
Adaptive AP is a remote-first company with team members across 10 cities worldwide. We’re hiring operators who build with AI.