Support, lead qualification, follow-ups. An agent that answers in seconds, around the clock, and knows exactly when to hand the conversation to a human.
- Support agents
- Sales & lead qualification
- Voice & chat agents
- Human handoff design
AI agents & workflow automation for SMEs
We run our own company on boring AI. And we build yours.
The unglamorous kind: the document-heavy, repetitive work piling up in your business, automated end to end in the tools you already use. Our own intake, delivery, and reporting run on the systems we'd put in yours.
Starts with a free 30-minute call. We'll tell you whether this is even worth automating.
We only build automations that pay for themselves. And we stay until they do.
Services
Built into the systems your business already runs on.
Invoices, reports, approvals, data entry. The repetitive middle of your operations, run end to end without a person pushing it along.
- Document processing
- Reporting pipelines
- Approvals & handoffs
- Data entry & migration
Your documentation, your data, your tools. One place to ask. Answers come with sources. Actions come with guardrails.
- Knowledge assistants
- Ops copilots
- Tool integrations
- Search across systems
We wire AI into the stack you already run: CRM, helpdesk, ERP. And we tell you honestly which parts of your business shouldn't be automated at all.
- Systems integration
- AI roadmap
- Build vs. buy advice
- Vendor evaluation
Sometimes the fix isn't an agent. It's the missing tool. We design and build the software around your workflows, so the automation has somewhere solid to live.
- Web applications
- Internal tools & dashboards
- Client portals
- API development
Our view
We don't sell AI adoption. We sell the version of it we already trust enough to run ourselves.
Most AI projects die between the demo and the deployment. Ours survive it because we hit those failures on our own operations first, on our own time, before any of it reaches a client.
- From scoping to a system running in production.
- 2–4 wks
- From scoping to a system running in production.
- We start with one. Prove it. Then scale what works.
- 1 workflow
- We start with one. Prove it. Then scale what works.
- Every system we build is yours to keep and change. No platform of ours in the middle.
- Yours
- Every system we build is yours to keep and change. No platform of ours in the middle.
- What you owe if we tell you it shouldn't be automated.
- $0
- What you owe if we tell you it shouldn't be automated.
Our job is to give your team its hours back: the ones lost to work a machine should be doing, so your people spend theirs on what actually grows the business.
How we work together
Three rungs, and you can stop at any one of them.
We learn how your business actually runs before recommending a single tool. No transformation program, no year-long contract. Here is the whole path.
- //01
The call
30 minutes · No obligation
Bring one workflow. We'll tell you whether it's a real automation candidate or whether you'd be spending money to solve the wrong problem. A straight answer, not a roadmap.
Who it's for: Leaders who suspect there's something here and want an honest read before spending anything.
Free
Book a call - //02
The AI Audit
7 days · Fixed price
Most clients start hereSeven days inside your operation. We map how the work actually runs, put an annual cost on every bottleneck, and hand you a ranked build plan with prices attached. Yours to keep even if you never hire us. The fee comes off the build.
Who it's for: Teams with a mandate to act who need a plan their board will sign off on.
$2,500
See what's inside - //03
Build & run
Quoted after scoping · Then monthly to run
The one or two automations that pay back fastest, live in your systems and proven on real cases. The range becomes a fixed quote once the Audit defines the scope. Running it afterwards is a separate monthly fee.
Who it's for: Companies with a plan who need it built, shipped, and kept running.
$7.5K–$50K
Scope your build
The stack we build on
We build on Anthropic, OpenAI, Gemini, Mistral, Groq, Hugging Face, LangGraph, LangChain, LlamaIndex, MCP, LiveKit, n8n, Python, TypeScript, FastAPI, Next.js, React, PostgreSQL, Supabase, Redis, AWS, Google Cloud.
Process
From first call to production, without the pilot purgatory.
Four steps. Each one a promise we keep before you pay for the next.
- 01
Map
We say no to bad automation.
One call. We find where your team loses the most hours, and tell you plainly if an agent can safely take that work over.
- 02
Scope
We don't quote until we've scoped it.
We define exactly what the agent owns, what it escalates, and what it never touches. Only then do you get a price, fixed for that scope. Grow it later and we quote that separately.
- 03
Build
Your data never trains a model.
Deployed into your real systems and tested against real cases, with your industry's privacy requirements built in from day one.
- 04
Run
One workflow, proven, before the next.
We monitor, tune, and report the hours it hands back every month. Only once it's proven do we move to the next workflow.
Industries
Every industry thinks its paperwork is special.
It isn't.
Intake, invoices, approvals, reports. The doc-heavy grind wears a different name in every industry and breaks the same way. We start from your vocabulary and your workflows, not a blank page.
Professional Services
Proposals, client onboarding, document review, billable-hours leakage.
Learn more
FAQ
Fair questions.
The ones every serious buyer asks, answered the way we'd answer them on a call.
What does it cost to build an AI agent?
Builds run between $7,500 and $50,000, depending on what the system owns and how many tools it reaches into. It's a range because nothing can be priced honestly before it's scoped. Once it is, you get a fixed quote that doesn't move. Running it afterwards is a separate monthly fee.
What happens if the scope changes mid-build?
We quote the addition and you decide. The original scope stays at the original price. What we don't do is absorb it silently and cut corners elsewhere, or surprise you on an invoice.
How long until something is live?
Two to four weeks from scoping to production for the first workflow. If a project needs six months, we'll tell you that on the first call, and we'll also tell you which smaller piece could be running within a month.
Do we have to replace our existing tools?
No. We build into the stack you already run: your CRM, helpdesk, spreadsheets, databases, and internal APIs. If your tooling is the actual problem, we'll say so before building anything on top of it.
What happens when the agent doesn't know what to do?
It hands off to a human. Every agent we ship has explicit boundaries: what it owns, what it escalates, what it never touches. You define those limits with us during scoping, and they're enforced in the system, not in a prompt we hope it follows.
Is our data used to train AI models?
No. Your data stays your data. We architect around the privacy requirements of your industry, and we put it in writing.
Next step
Tell us about the workflow that eats your team's week.
Thirty minutes. We'll tell you honestly whether an agent can take it over, or whether you'd be paying to fix the wrong problem.