AI agents that ship.
And stay in use.
We build production AI agents for mid-market companies: voice agents, virtual agents, knowledge assistants, and scoring engines. Operators fix the workflow first, AI experts build with production discipline, and we keep every agent current after launch.
KeyDelta builds production AI agents for companies from $50M to $1B in revenue, and keeps them working after launch.The agents our team has built include AI service-desk agents, virtual agents that auto-resolve support tickets, voice agents for sales training, knowledge assistants, and AI engines that score every call. Results include 92% rep adoption, 55% ticket auto-resolution at 91% CSAT, and 3.2x ROI in six months. Every build starts by fixing the workflow the agent plugs into, because automating a broken process scales the problem. Every build ends in AAMP, KeyDelta's managed AI service, so nothing we ship is orphaned. You own the IP.
Agents measured on use, not on launch.
Six builds, each with the numbers from its case study.
AI service desk agent
Managed services provider buried in Tier-1 tickets
- Resolution time -62%
- Escalations -45%
- 4.2x ROI
Read the Case Study
AI virtual agent
PE-backed MSP with every ticket queued for a human
- 55% of 3,000 tickets auto-resolved
- 91% CSAT on AI tickets
- Support costs -34%
Read the Case Study
AI sales coach
Reps practicing on live prospects and burning pipeline
- Close rate 24% to 42%
- Ramp time -35%
- 3.2x ROI in six months
Read the Case Study
Real-time AI sales training
A prior AI tool abandoned over a two-to-three-second lag
- Latency under 500ms
- Adoption 18% to 92%
- Ramp time -40%
Read the Case Study
AI call center QA
Call center auditing 5% of calls by hand
- 100% of calls scored
- QA cost -97%
- QA scores 62 to 83
Read the Case Study
AI knowledge assistant
500+ employees queuing internal questions
- Internal tickets 850 to 270 a month
- 84% resolved on the first ask
- 4.4x ROI
Read the Case Study
Production discipline, from the first sprint.
Most AI builds stall between demo and production. These are the habits that get ours across.
- Shaped before it starts: what problem, for whom, and how we will know it worked
- Proven by prototype before anyone commits to the full build
- Gated before production, with the business owner in the room
- Users inside the build from the first sprint, trained before cutover
- Guardrails on what every agent can and cannot do, with people approving changes
- Ships with its specification, tests, runbook, and a named owner
The stack fits the job, not the other way around.
Platforms our team has built production agents on, from the case studies above.
Building it was the easy part.
Your business, the security landscape, the foundation models, and the economics never stop moving. Models turn over roughly every year, and a vendor can retire one with as little as 60 days' notice.
That is why every agent we build ends in AAMP, our managed AI services, which re-tests and re-revs each system as those four things move. You own the IP. We own keeping it current.
Building on a process that is not ready yet? Start with AI advisory, or see the whole method on AI implementation.
Common questions
What kinds of AI agents does KeyDelta build?
Production agents that change how work gets done: voice agents for sales training, virtual agents that resolve support tickets, knowledge assistants for internal teams, AI service-desk agents, and scoring engines that review every call. Each one is built after the workflow it plugs into has been fixed, with the people who will use it inside the build.
How long does it take to build an AI agent?
First measurable results land by day 30, and the process is installed in your team by day 90. Timing depends on how ready the workflow is. If decision rights, ownership, and data are not in place, we fix those first, because an agent built on a broken process scales the problem.
What does AI agent development cost?
It depends on scope, integrations, and how ready the operating model is. The specific number comes from a free 30-minute call, and the price is agreed before anything starts.
Who owns the AI agent and the code?
You do. You own the IP of every application and agent we build. What KeyDelta owns, if you choose it, is keeping the system current under AAMP, our managed AI services.
Can you fix an AI agent another firm built?
Yes. In one engagement, a client's AI sales-training tool had collected dust because of a two-to-three-second lag. We rebuilt it on a sub-500ms real-time voice architecture, and rep adoption went from 18% to 92%.
What happens to an AI agent after launch?
Four things keep moving underneath it: your business, the security landscape, the foundation models, and the economics. Models turn over roughly every year, and a vendor can retire one with as little as 60 days' notice. AAMP, KeyDelta's managed AI service, re-tests and re-revs every system as those change.
Have an AI agent in mind, or one that stalled?
Start with a 30-minute call. We will tell you whether the workflow is ready for an agent, what it would take to ship, and what it would take to keep it running.
Operator to operator. No deck, no obligation.