[PRICING]
Pricing for custom AI software
Engagements range from $5,000 to $150,000 and up. This page shows how that range breaks down and what moves your number.
- Free first call
- $5,000 two-week discovery
- Fixed price before any code
How an engagement works
What it costs to build with us, step by step
Five steps from first call to a system that runs. The first call is free, and the build price is fixed before any code is written.
- $0One call
Step 01
Free AI audit call
- Tell us how the business runs and where it gets stuck
- We talk through where AI could help
- You find out if a paid discovery makes sense
- $5,0002 weeks
Step 02
Discovery and spec
- We map your workflows, tools and data
- You get a written spec and PRD
- The build gets a fixed price before any code
- Fixed priceWeeks, not quarters
Step 03
Build
- AI agents, chat and voice flows, dashboards and APIs around your tools
- Working software at every milestone
- No hourly billing
- IncludedLaunch week
Step 04
Ship
- We launch it and watch it under real load
- We keep managing it, so your team has nothing to maintain
- Managed planOngoing
Step 05
Keep it running
- Every project gets a plan scoped to what we built
- Monitoring, fixes, model and prompt tuning
- New features as the business changes
Pricing
What does AI development cost?
Engagements run from $5,000 to $150,000 and up. Scope, data readiness, and integration depth move the number more than which model we use. We do not run science experiments: when a question needs an answer, we build a quick proof of concept on your data and measure it.
Pricing
The estimate varies
What moves it
How many systems and workflows are in scope, how clean and connected your data is, how much proof you want before it goes live, and how much call and message volume it has to carry.
Discovery
$5k
A spec and PRD before any code
2 weeks. Two weeks on how the business runs, the data and tools it touches, and the architecture before any code. The build is priced against the spec and PRD.
Proof of concept
$5k to $25k
One agent or automation
4 to 8 weeks. One workflow such as answering, follow-up, or booking, running on your real data and measured against a baseline before you commit to more.
MVP
$7.5k to $25k
A first version for real users
2 to 6 weeks. A working product in front of real customers, to learn whether they want it before you pay for production. Narrow on purpose and not built for scale yet.
Integration
$10k to $50k
Data sync across your tools
6 to 16 weeks. The tools you already run talking to each other, with one accurate source of truth. Scoped by how many systems and how clean the data is.
Production
$80k to $200k+
Custom AI software
12 to 24 weeks. A full system that replaces a patchwork of tools: several agents, a dashboard, and the integrations between them. Where most of our engagements land.
Complex builds
$150k and up
Multi-system platform
6 to 12 months. Multi-system integration, evaluation sets, monitoring, and shared infrastructure across locations or products, with the access rules a growing team needs.
These are ballpark figures from typical projects, not quotes. Every build is different, and yours gets a fixed price once the spec is written.
Cost drivers
What moves the number
How much we build custom, the systems it touches, and the state of your data set the price. Which model we use barely registers.
- 01
Custom AI systems
HighWiring AI into the tools you already run costs less than building a custom system. Each custom agent, dashboard, or workflow we build from scratch adds design, build, and testing time.
- 02
Systems it connects to
HighEach CRM, phone system, or calendar it reads from and writes to adds integration work.
- 03
How clean your data is
HighIf the customer list lives in three places, we spend time reconciling before anything can use it.
- 04
How much proof you need
MediumA system that has to hit a measured accuracy bar before launch gets an evaluation set and a test cycle. Most do not need one.
- 05
Voice and phone
MediumAn agent that answers calls needs telephony, latency work, and more testing than one that answers chat.
- 06
Call and message volume
LowHigh volume changes the hosting and the monthly running cost more than the build.
- 07
Which model we use
LowAlmost none. Model choice changes a monthly bill by dollars, not the build by thousands.
Discovery
What happens in discovery
Two weeks and $5,000. We learn how the business runs and write it into a spec and PRD.
- 01
How the business runs
We start with your goals, what a normal day looks like, and where the hours go.
- 02
Workflow and tool mapping
We trace how calls, leads, and jobs move through the business, and which tools they touch along the way: the CRM, the phone system, the calendar.
- 03
Data review
We find where your customer data lives and check how clean it is. If the same customer sits in three places, we catch it now, not halfway through the build.
- 04
Architecture and agent design
We decide which agents to build, which systems they connect to, and which model runs them.
- 05
The spec and PRD
We write it all up as a spec and a product requirements document.
- 06
A fixed build price and roadmap
We price the build against the spec and lay it out in milestones, so you know the number before we write any code.
After discovery
From discovery to build
The spec is where the build starts, and the people who wrote it carry it through.
- One team from spec to launch: the people who scoped it build it
- A fixed price, set in discovery
- A working demo at every milestone
- Managed after launch, on a plan scoped to the build
Included in every build
- A roadmap from paid discovery before you commit to the build
- A fixed price against a written spec, no hourly surprises
- Working software you see during the build
- The team that scoped it builds it
- Documentation and a clean handoff
- A managed services plan scoped to your project
Not sure which size you are? Bring the question to the free call, and discovery settles the number.