Find the repeatable task
We choose a narrow workflow where AI can save time without creating risk.
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We build focused AI systems for repetitive operations: intake, summaries, routing, document review, support, and internal knowledge workflows.

A straightforward path from scope to launch.
We choose a narrow workflow where AI can save time without creating risk.
Inputs, outputs, review points, and escalation rules are defined up front.
The AI workflow is connected to the right data, UI, and business systems.
We monitor outputs, costs, and edge cases so the tool improves safely.
Recommended stack
We test a supported Anthropic, OpenAI, or Gemini model against the actual task, then add retrieval, orchestration, and application infrastructure only when the workflow needs them. The final model, data path, hosting, and recurring usage are documented in the approved scope.
Every tool above is proven in production across our builds — recommended, not required. See everything we deliver
Model and workflow design
We select from supported Anthropic, OpenAI, and Gemini models after testing the actual task. The approved scope documents what data is sent, where it is stored, what a human must review, and which usage charges recur.
Anthropic
Language models
OpenAI
Language and vision
Gemini
Multimodal models
n8n
Automation engine
Visual AI
When visual generation belongs in the scope, we can build an approval-first queue for product mockups, social assets, or creative variants. Prompts, source assets, review rules, storage, and model usage are agreed before the workflow can publish anything.
Always Processing
Event-driven or scheduled jobs can read an inbound request, prepare a draft, update an approved field, and route exceptions to a person. Each action is limited to the permissions and review points defined in the written workflow.
Agent Activity
For workflows that can change business data, we design an activity log, source context, review state, and retry path into the scope. Reversibility depends on the connected system and is confirmed during discovery rather than assumed.
Intelligent State
We can surface queued, running, waiting-for-review, completed, and failed states in the dashboard when the workflow needs operational oversight. The exact events and retained details are defined in scope.
Generate Q4 marketing copy for our winter sale campaign
Here’s your winter campaign copy — 5 subject lines, hero text, and 3 SMS variants, tuned to your brand voice. Ready to push to your email queue?
Configure the solution
A scoped AI capability built into your business — such as an assistant, document analyzer, or supervised workflow. We select a supported model for the task, connect approved data and tools, and define where human review is required.
Straight pricing
The build and expected monthly usage are shown separately. The live controls use the same admin pricing and model-rate settings as the shop, and your written scope is approved before work starts.
Custom AI Solutions
A scoped AI capability built into your business — such as an assistant, document analyzer, or supervised workflow. We select a supported model for the task, connect approved data and tools, and define where human review is required.
Select to choose the model, workflow, and usage preset.
Choose the right lane
This service is for a narrow workflow that needs models, business data, permissions, integrations, and human review working together. If the need is simpler, start with the purpose-built offer instead.
Use the AI Receptionist & Chatbots offer for answering, qualification, booking, and lead capture.
View receptionist and chatUse Custom CRM when the primary deliverable is contacts, stages, permissions, reporting, and admin workflows.
View custom CRMUse Custom AI when the system must read approved data, produce or classify work, call tools, and stop for human review.
Configure custom AIAutomation Engine
n8n can provide the orchestration layer between an approved model, your CRM, email, database, and other documented APIs. We can run the workflow service in client-controlled infrastructure when the scope supports it. Connected vendors still receive the data each step sends them, so those transfers and retention settings are mapped before launch rather than hidden behind a privacy slogan.
Pricing, in plain terms
The build is custom-quoted to your workflow; AI usage is billed at the published managed rate with spend limits agreed up front. Current usage and its pricing basis remain visible before and after approval.
One-time, recurring, usage-based, supplier-priced, and written-quote components stay on separate lines so unlike costs never blur together.
Tax, metered usage, media spend, provider licenses, hardware, shipping, and work outside the listed scope are identified before approval.
Choose a published option or request custom scope. We confirm the final components, dependencies, exclusions, and price before delivery begins.
Help me choose
Choose the repetitive outcome first. Data access, model usage, review controls, and integrations determine the final scope.
Answer three quick questions. Nothing is added until you choose.
Help me choose
Choose the repetitive outcome first. Data access, model usage, review controls, and integrations determine the final scope.
Answer three quick questions. Nothing is added until you choose.
Quick fit guide
0 of 3 answered
Three quick questions and we'll point you at the right plan.
Choose the outcome or need first to receive a recommendation.
Choose the first planning step above. The recommendation and pricing explanation will update here—nothing is added to your estimate automatically.
Find the repeatable task
We choose a narrow workflow where AI can save time without creating risk.
Design the guardrails
Inputs, outputs, review points, and escalation rules are defined up front.
Build the tool
The AI workflow is connected to the right data, UI, and business systems.
Tune with real use
We monitor outputs, costs, and edge cases so the tool improves safely.
Verify the work before you approve it
Custom AI Tools moves forward through a written scope, named inclusions, explicit exclusions, and an approval checkpoint. Review delivery examples alongside the recommendation—not instead of the scope.
See delivery evidenceAdd a governed application surface when people need control
Approvals, permissions, history, and exception handling may need a purpose-built interface.
Review this additionStill weighing a detail?
Ask a specific question without losing the service, pricing, or recommendation context you selected above.
We design AI tools with bounded data, review points, and clear fallback behavior to reduce that risk.
Planning estimate
Bring us the repetitive work, messy handoffs, support load, content bottlenecks, or internal process you want automated. We will scope the model, data, workflow, guardrails, and launch path.
Prefer to talk it through first? Talk through the workflow