01
Pick the first workflow
We choose one narrow, repetitive task where AI saves real hours without creating risk — and tell you plainly when a task isn't a good fit.
Loading, in progress
Loading
Loading this page. This should only take a moment.
Loading this page. This should only take a moment.
Build assistance around an agreed task, with approved data, human review, and usage limits. Validate the workflow before launch.
Build assistance around an agreed task, with approved data, human review, and usage limits. Validate the workflow before launch.
A straightforward path from scope to launch.
We choose one narrow, repetitive task where AI saves real hours without creating risk — and tell you plainly when a task isn't a good fit.
Inputs, outputs, review points, escalation rules, and cost limits are defined on paper before any code is written.
We connect the model to your data, UI, and business systems, then test it against actual examples from your operation — not demo data.
We monitor outputs, costs, and edge cases after launch, and only expand the tool once the first workflow has proven itself.
Recommended stack
CORE internal inference uses Microsoft Foundry. Optional customer models and n8n workflows are selected only for approved scope. Data permissions, evaluation outputs, human fallback, hosting and recurring usage are documented and verified before launch.
CORE uses Azure for its own hosting. Customer-project tools are selected for the approved scope; a listed option does not mean your project is connected. See everything we deliver
Delivery and costs
We confirm what can run automatically, what needs your approval, and any provider or supplier charges before work starts. Connections depend on your project and are not included unless the quote says so.
Your written quote names the selected providers, included work, quantities, usage limits, supplier costs, and approvals. Provider usage, advertising spend, hardware, shipping, taxes, travel, and work outside the approved scope are itemized when they apply.
Loading this page. This should only take a moment.
Build assistance around an agreed task, with approved data, human review, and usage limits. Validate the workflow before launch.
Build assistance around an agreed task, with approved data, human review, and usage limits. Validate the workflow before launch.
A straightforward path from scope to launch.
We choose one narrow, repetitive task where AI saves real hours without creating risk — and tell you plainly when a task isn't a good fit.
Inputs, outputs, review points, escalation rules, and cost limits are defined on paper before any code is written.
We connect the model to your data, UI, and business systems, then test it against actual examples from your operation — not demo data.
We monitor outputs, costs, and edge cases after launch, and only expand the tool once the first workflow has proven itself.
Recommended stack
CORE internal inference uses Microsoft Foundry. Optional customer models and n8n workflows are selected only for approved scope. Data permissions, evaluation outputs, human fallback, hosting and recurring usage are documented and verified before launch.
CORE uses Azure for its own hosting. Customer-project tools are selected for the approved scope; a listed option does not mean your project is connected. See everything we deliver
Delivery and costs
We confirm what can run automatically, what needs your approval, and any provider or supplier charges before work starts. Connections depend on your project and are not included unless the quote says so.
Your written quote names the selected providers, included work, quantities, usage limits, supplier costs, and approvals. Provider usage, advertising spend, hardware, shipping, taxes, travel, and work outside the approved scope are itemized when they apply.
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
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.
Offer boundaries
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.
Less than you'd fear — and we design for it. We bound the tool to your data, add review points where mistakes are expensive, and build it to say "I don't know" and escalate rather than guess.
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
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.
Offer boundaries
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.
Less than you'd fear — and we design for it. We bound the tool to your data, add review points where mistakes are expensive, and build it to say "I don't know" and escalate rather than guess.
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.
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.