Boutique AI deployment firm for the modern enterprise.
We Transform Human-Driven Workflows Into Recursive Self-Improving WorkLoops™ That Run Autonomously Inside Your Company's Claude, OpenAI, Or Gemini Account
The AI models work.
Deployment is the problem.
MIT found 95% of enterprise AI pilots deliver zero measurable impact — and the cause isn't model quality. It comes down to four structural failures in how AI gets deployed.
Manual workflow capture
Traditional deployment works with one domain expert at a time — there's no scalable way in, so rollout is slow and never reaches the whole org.
Scalable Video-to-WorkLoop capture
Video-to-WorkLoop is the wedge: film a workflow once, then an engineer calibrates it into automation in your connected AI account — fast, across the whole org.
Breaks in production
Your experts know the work, not how to build automations that survive production — or even which ones are worth building. So they break.
Production-level WorkLoops
WorkAGI auto-generates the right WorkLoops for you, production-grade — decision logic and edge cases built in. No AI skill needed from your team.
Complicated new tech stack
A whole new platform bolted onto your stack — new logins and new integrations to build and maintain on top of everything you already run.
Same existing tech stack
Zero changes to your stack. Our MCP server runs inside your connected AI accounts and piggybacks the integrations you already use.
Decaying static automation
Months to build, then it decays — performance drops, hallucinations creep in, and you pay a retainer for life just to keep it usable.
Self-improves over time
WorkLoops self-improve from your feedback automatically — staying current and sharpening over time, with little to no manual effort.
Most AI never reaches production.
WorkAGI does.
Most AI Deployment Fails.
WorkAGI Software & FDE Model Wins.
Software alone produces demos. Consulting alone produces decks. WorkAGI pairs both — productized software deployed by a senior engineer — so AI actually reaches production.
Capture Workflows
Your team films a workflow once — Loom, screen recording, or SOP doc. WorkAGI ingests it.
Compile .WorkAGI File
WorkAGI compiles the capture into a structured .workagi file — the executable definition of the work.
Run WorkLoops
Your AI executes the WorkLoop on demand or on schedule. Every run is traced. Every result feeds the improvement loop.
The modern AI-first organization stack.
Your software. Your AI. The work-automation layer that ties them together.
WorkAGI
Captures workflows and runs them across your AI tools and your existing software.
Your existing AI Provider
Where your team works. WorkLoops appear as native tools inside whichever AI you already use.
Your existing software
CRM, email, database, and 200+ business apps. Connected through standard OAuth.
Workflows are dead. WorkLoops™ are here.
A workflow is what your team did yesterday. A WorkLoop™ is what runs across your stack today. Captured once. Executing forever. Improving with every run.
Traditional Human-Driven Workflow
A static sequence of steps. Executed by one employee. Knowledge stored in their head.
Recursive Self-Improving WorkLoop™
A system that captures the workflow, runs it, and gets better with every execution. Knowledge stays in the platform.
WorkAGI Automation Use Cases
Explore the wide range of processes we can automate for your business
Data Processing & Migration
Automatically collect, process, and transfer data between systems
Common Examples- CRM data sync
- Report generation
- Database migrations
Customer Communications
Streamline customer interactions and follow-ups
Common Examples- Email campaigns
- Support ticket routing
- Follow-up sequences
Financial Operations
Automate accounting and financial processes
Common Examples- Invoice processing
- Expense reporting
- Payment reconciliation
HR & Onboarding
Simplify human resources and employee management
Common Examples- Employee onboarding
- Time tracking
- Performance reviews
Sales & Marketing
Optimize lead generation and nurturing processes
Common Examples- Lead scoring
- Campaign management
- Pipeline updates
Inventory Management
Automate stock tracking and procurement processes
Common Examples- Stock alerts
- Reorder automation
- Supplier communications
Reduce manual work by 50-80%
Automate repetitive tasks and free up your team for strategic work
Lower operational expenses
Eliminate inefficiencies and reduce the need for additional staff
99.9% error reduction
Eliminate human errors and ensure consistent, reliable processes
Grow without friction
Scale your operations without proportionally increasing overhead
Introducing.workagi.
WorkAGI invented a proprietary file format for AI work automation with context-rich unified audio and visual workflow capture. Loom is how humans record work. .workagi is how AI learns it.
Employee-centric privacy is the architecture.
Employees opt-in and film what they choose. Recordings auto-delete after compilation. Only the structured WorkLoop remains. Capture without surveillance.
You own your data.
Every .workagi file is yours. Downloadable anytime. Portable to any AI tool. No vendor lock-in. No data hostage situations at renewal.
Employee-initiated, not surveillance.
Recordings only happen when an employee starts one, for a specific workflow they want to automate. No continuous monitoring. No background capture.
Raw recordings auto-delete.
Source videos are scaffolding, not assets. They auto-delete within 24 hours of compilation. Only the structured .workagi file persists.
Audit-ready by default.
Every .workagi file is cryptographically signed at generation. Every execution is traced step-by-step. Compliance review takes minutes, not weeks.
Customized installation by your
Forward-Deployed Engineer.
No self-serve onboarding. No shared support queue. One senior engineer, accountable to your account, from kickoff through your first production quarter.
Invite
We provision your team. Everyone gets a magic-link invite.
Capture
Your team records workflows via Loom or screen recording.
Compile
We compile the captures into reliable WorkLoops.
Calibrate
Your FDE leads a four-week calibration cycle.
Run
WorkLoops run on demand inside chat, or on a schedule.
WorkAGI > Everything Else.
Traditional AI deployments take more than a year and ship a static deliverable. WorkAGI engagements ship a self-improving system in two weeks.
Traditional AI deployment
Services firm or in-house build
Discovery & Scoping
Stakeholder interviews. Requirements gathering.
Vendor RFP
Proposals collected. Demos. Vendor selection.
Contract & SOW
Legal review. Procurement. Statement of work signed.
Architecture design
Technical specifications. Integration planning.
Data integration
Pipelines wired. Security review.
Custom development
Build cycle. External agency or internal team.
Internal QA
Testing. Bug fixes. Compliance review.
Pilot program
Limited rollout. Feedback collection.
Team training
Workshops. Documentation. Change management.
Production rollout
Go-live. Vendor exits. Maintenance contract begins.
$500K – $2M
Total first-year cost- Static deliverable
- Decays without maintenance
- Institutional knowledge leaves with vendor
- Renegotiation required for every change
WorkAGI + Forward Deployed Engineer
A senior engineer assigned to your account
Apply
Ninety-second intake. Engagement criteria validated.
Qualification call
Thirty-minute review with the founding team.
FDE assigned
Senior engineer embeds with your team.
Workflow capture
Employees record workflows. Platform extracts definitions.
Compile & calibrate
WorkLoops generated. FDE-led calibration cycle.
Live in production
WorkLoops execute on demand or on schedule.
Customized Pricing
Tailored to engagement scope- Downloadable Skills
- Self-improving system
- Improves with every execution
- Institutional memory retained in platform
Connect your Claude, ChatGPT, or
Gemini Team account with 1-click.
One OAuth connection. Every WorkLoop becomes a tool inside your AI. Employees invoke them in chat, on schedule, or by command. No migration, no retraining.
Claude
WorkLoops appear as native tools inside Claude. Built on Anthropic's Model Context Protocol.
ChatGPT
WorkLoops execute as ChatGPT actions. Works across Plus, Team, and Enterprise.
Gemini
WorkLoops run as Gemini extensions. Workspace and Enterprise both supported.
Production WorkLoops, deployed
at operating companies.
Three engagements. Three companies. One model. Every WorkLoop in this section is running in production today.
Sigma Partners
We replaced a contracted role within two weeks of kickoff. By the end of the quarter, our smaller team was outperforming the previous structure on every pipeline metric we track.
Halcyon Growth
Previous AI engagements produced deliverables that aged out within weeks. WorkAGI shipped a working system in our environment and continued improving it after handover.
Frequently Asked Questions
See if you qualify.
By application only.
Ninety-second application. Thirty-minute qualification call.
See If You Qualify