Connect + interpret
Integrate your existing tools and normalise the data into one business memory.
Services
We do not sell AI theater. We map the workflow first, build software only where the work deserves it, and put a price on nothing we cannot prove.
The entry wedge
We do not start by replacing your software. A Command Center connects and interprets the tools you already run - exports, APIs, PDFs, emails, spreadsheets, and owner knowledge - then shows the numbers, explains what changed, flags what matters, recommends action, and routes work.
Integrate your existing tools and normalise the data into one business memory.
Show what changed, flag what matters, and recommend the next action.
Approvals, audit notes, and rollback plans keep risky work from moving silently.
Why The AGI Studio
We start with the work itself: handoffs, follow-up, proof gaps, quality gates, and the point where execution breaks.
Support, releases, customer feedback, proof artifacts, and launch gates turn a codebase into a product a business can actually run.
A price comes after the free map, from the founder, for the scope on the table. Everything we show you on the way is something you can check.
Pick your path
Start small when the map is unclear. Build deeper only when the workflow, data, owner, and proof gates are obvious enough to justify it.
Map the workflow before anyone sells you automation.
You know the work is messy, but the real automation surface is not obvious yet.
A practical workflow map, bottleneck read, and next-system recommendation.
Next step: a short intake form. The founder reads it and replies with scope questions within one business day. No payment is requested at this stage.
Turn one painful repeatable workflow into owned software.
One intake, follow-up, reporting, or fulfillment lane is costing too much attention.
A scoped workflow system with source, operating notes, and proof capture.
Next step: a short intake form. The founder reads it and replies with scope questions within one business day. No payment is requested at this stage.
Connect multiple workflows into one command center.
The work spans people, tools, handoffs, reporting, approvals, and recurring decisions.
A multi-workflow operating layer that tells the team what changed and what to do next.
Next step: a short intake form. The founder reads it and replies with scope questions within one business day. No payment is requested at this stage.
Make a product easier to run after the code ships.
A real product needs releases, support, customer feedback, proof notes, and launch gates.
A product operating setup with rules, memory, review gates, and status discipline.
Next step: a short intake form. The founder reads it and replies with scope questions within one business day. No payment is requested at this stage.
Operate, improve, and extend the system after launch.
The system is valuable enough that maintenance, proof capture, and improvements matter.
A scoped monthly operating lane for releases, fixes, documentation, and workflow drift.
Next step: a short intake form. The founder reads it and replies with scope questions within one business day. No payment is requested at this stage.
Coordinate several command centers across the company.
The business needs an owned operating system, not scattered AI tools or dashboard theater.
A custom company operating layer governed by approvals, audit notes, and rollback plans.
Next step: a short intake form. The founder reads it and replies with scope questions within one business day. No payment is requested at this stage.
Not sure where the workflow breaks? Start the workflow diagnostic and we will scope the useful next step.
Or see workflow systems built for your industry.
Browse solutions by industryThe cost calculator
This local-only calculator compares a conventional all-AI routing pattern with the Studio pattern: use AI for judgment, then route repeatable steps to normal software. It is an estimate, not a quote or a promise.
Typical all-model API path
Illustrative monthly model fees when every step becomes a paid model call.
Rules-first studio path
Estimated monthly model fees when only one judgment step uses AI.
Modeled difference
Potential model-fee exposure avoided in this scenario, not guaranteed savings.
Assumption shown
One judgment step per workflow is routed to AI in the studio pattern. Every workflow step is routed to AI in the comparison pattern. Actual architecture, model choice, volume, hosting, and support scope require founder review.
This tool runs only in your browser and does not submit data; $0 refers to model fees for the repeatable code executions shown above, not hosting, integrations, maintenance, support, or total operating cost. Nothing here is a savings guarantee or a price - binding scope and pricing stay inquiry-gated until founder approval.
Start the diagnosticReference architecture. Not running on this site.
This conceptual blueprint shows the controls a client-specific RAG system would require. The marketing site does not accept files, create indexes, or run retrieval pipelines.
Encryption is shown as a design requirement, not a verified runtime claim. Storage, tenancy, retention, model hosting, and access policy remain inquiry-gated.
Operational blueprint
What you see labeled live is live. Checkout claims are stated outright. A payment or hosting status counts as real only once the owning dashboard proves it.
[OWNERSHIP // SOURCE HANDOFF]
For scoped builds, the handoff is designed around owned source, documented setup steps, and clear limitations. Hosting, support, and managed operations are separate decisions, written into the scope before work begins. If The AGI Studio operates the system after launch, that is a managed ops agreement, not hidden platform rent.
[QUALITY // HUMAN REVIEW]
AI is used where judgment helps: reading messy inputs, drafting options, ranking exceptions, or summarizing context. Repeatable execution is handled by normal software rules. Risky actions are designed with proof checks and approval gates, and anything not provider-verified stays labeled gated or unknown.
[STACK // PROJECT FIT]
The AGI Studio builds modern web and workflow systems with source-controlled code, typed interfaces, structured data, and testable release gates. The exact stack depends on the workflow. Public provider states such as auth, database, payments, analytics, and deployment remain unknown until verified by the owning provider dashboard.
Pricing follows the free map. Provider claims stay Unknown until verified.
Ready to fix the workflow?
Tell us where execution breaks - start the diagnostic and we will map the system.