Reduce coordination
Remove status chasing, duplicate entry, context gathering, and manual routing from work that spans teams and systems.
Forward-deployed AI engineering
Put AI to workacross your company.
We embed with mid-market and enterprise teams to redesign how work gets done across the company. We preserve the systems, operating knowledge, and human judgment that matter, then introduce AI and automation in coordinated waves so the business moves faster and employees move with it.
The production gap
AI is easy to demo. Changing how work gets done is harder.
The hard part is not adding another automation. It is understanding how work moves across teams, systems, decisions, and exceptions, then changing it without losing the knowledge, controls, or technology the company depends on.
Accelerate execution
Move continuously from intake to decision to action, while the right people keep control of real exceptions.
Increase capacity
Give employees more time for judgment, customers, and improvement while AI handles repetitive coordination and execution.
How we work
Company-wide transformation, delivered one department at a time.
A typical first wave moves from on-site discovery to a decision-ready audit, then into implementation, testing, employee adoption, and continuous improvement.
- Week 1On site
Learn how the work really happens
We work alongside employees and leaders in the first department, tracing real queues, systems, handoffs, exceptions, and judgment calls. We learn what makes the operation work, including the nuance that should not be automated away.
- Weeks 2 to 4Audit
Map the department and make the business case
We turn the fieldwork into a decision-ready audit for the first wave. It shows where AI can act, where people must decide, which systems should stay, what should be built or bought, and how this department connects to the wider company roadmap.
What the audit deliversValue before implementation begins.- Department workflows and cross-functional dependencies mapped
- AI action and human judgment boundaries
- Existing systems to preserve, connect, or replace
- Custom build, paid product, or combined path
- Expected ROI for each candidate workflow
- Permissions, risks, and employee adoption requirements
- Prioritized first-wave implementation roadmap
- Months 2 and 3Implementation
Build, test, and earn trust
We implement the highest-value workflows inside the existing environment and test them on real cases. Employees who own the work shape the controls, receive practical enablement, and help decide when the system is ready for broader responsibility.
- OngoingImprovement
Make the system better over time
We track quality, adoption, speed, cost, and exceptions, then improve the models, tools, controls, and workflows behind the system. Proven capabilities move into the next wave across the company.
Existing systems, new products, custom agents
The right solution is usually a connected system, not a single tool.
We start with the software, data, and workflows already inside the company. We keep and connect what still works, add proven AI products where they create value faster, and build custom agents where the company's work is distinctive.
Our AI research agents continuously monitor the market, tracking new products, pivots, capabilities, integrations, pricing, and availability. They combine that market pulse with our growing catalog of evaluated AI tools, helping our engineers identify and verify the strongest options for each implementation.
2,444AI products analyzed, with the count still growing
Explore the AI tool index Most implementations use a combination of all three, chosen for fit rather than a preference for custom code.
Connect what already works
Integrate the systems, data, and workflows the company already relies on so information and action can move across the work.
Add proven AI products
When an existing product can provide the required capability faster, we find it, verify it, and integrate it into the wider system.
Build what is unique
Create custom agents and automation where the logic, controls, data, or operating advantage is specific to the company.
Featured tools · Live catalog
Featured AI products from the current catalog.
Their availability, positioning, fit, pricing signals, and official destinations come from the same live records as the AI tool index.
CO
Featured profileDeveloper tools
Codex
Codex is OpenAI's software-engineering agent for working across local repositories, cloud tasks, IDE sessions, terminal workflows, and code review. It can inspect code, edit files, run commands and tests, and delegate longer tasks in isolated cloud environments.
CC
Featured profileDeveloper tools
Claude Code
Claude Code is Anthropic's coding agent for reading codebases, editing files, running commands, debugging, refactoring, and automating development workflows from a terminal or supported IDE. Team and enterprise controls add centralized settings, permissions, and usage visibility.
EL
Featured profileVoice generators
ElevenLabs
ElevenLabs provides web tools and APIs for generating speech, cloning voices, transcribing audio, dubbing media, creating music and sound effects, and deploying conversational agents. Its creative platform serves content production, while ElevenAgents supports voice and chat automation across customer channels.
OP
Featured profileAI assistants
OpenClaw
OpenClaw is a local-first personal AI assistant that connects models, tools, and communication channels. It can work through WhatsApp, Telegram, Discord, Slack, Signal, iMessage, and other channels while keeping its gateway and state on infrastructure the user controls.
LO
Featured profileApp builders
Lovable
Lovable turns natural-language instructions into editable full-stack web applications with frontend, backend, database, authentication, integrations, and deployment. It supports rapid prototyping as well as ongoing product development with real code and managed cloud services.
SE
Featured profileVideo generators
Seedance
Seedance is ByteDance Seed's video-generation model family. Seedance 2.0 accepts text, image, audio, and video references, and generates or edits multi-shot audiovisual sequences with controls for subjects, motion, camera movement, composition, lighting, and sound.
Featured placement never changes factual product status, limitations, alternatives, or our right to decline a listing.
Reference systems
One department, redesigned end to end. Built to expand across the company.
Each reference shows where a first wave starts, which existing tools remain, where people retain judgment, and how later waves connect adjacent workflows and functions.
Explore all use casesIllustrative systemFinance operations
Multi-entity finance teams
Close the books without the chase.
A close-readiness system that watches reconciliations, collects missing evidence, prepares exception queues, and gives controllers a live operating picture before close day.
Illustrative systemRevenue operations
B2B revenue teams
Move every deal without losing control.
An agent system that assembles approval packets, checks pricing and margin policy, routes decisions, updates the CRM, and prepares the customer handoff.
Illustrative systemOrder & customer operations
Commerce, distribution, and logistics teams
Resolve the order, not just the ticket.
A resolution agent that joins ticket, order, payment, inventory, shipment, and policy context. It then takes the approved action and records the outcome everywhere it matters.
Production-ready by design
Authority is earned through evidence.
A useful agent can act. A production agent also knows its boundaries, records its decisions, evidence, actions, and overrides, and hands judgment to the right person.
Representative evaluation
Test against real cases, edge conditions, and unacceptable outcomes before authority expands.
Permissioned action
Give every agent only the systems, data, and decision rights required for its role.
Human judgment gates
Keep people in control where policy, risk, confidence, or materiality requires it.
Visible operations
Log inputs, decisions, actions, fallbacks, and overrides so the system can be governed.
Frequently asked
What leaders want to know before a company-wide AI and automation program.
Do you transform the whole company at once?
We design the transformation across the company, then deliver it in bounded, coordinated waves. Each wave usually focuses on one department or operating area, preserves what already serves the business, and creates the foundation for the next.
Will this replace our current software?
Usually not. We preserve systems that already serve the business and build the execution layer around them. We replace a tool only when the evidence shows that keeping it would limit value, reliability, or adoption.
How quickly does the first deployment go live?
After the first-month audit, a well-bounded department wave usually moves through implementation during months two and three. Company-wide transformation is a phased program; cross-functional dependencies, integrations, permissions, data quality, risk, and adoption determine the timing of each wave.
How do you decide what to build or buy?
We compare the existing stack, available AI products, integration fit, ownership cost, risk, and differentiation. Our research agents and evaluated tool catalog help us identify current market options before we recommend building anything custom.
Who owns the finished system?
The system is designed around your environment, data boundaries, operating knowledge, and named internal owners. Employees who do the work help shape and test each wave. Documentation, enablement, and adoption support are part of delivery.
Field notes