Codal Orchestra AI

AI agents working together, so your business moves faster

Codal builds custom AI agents you own, running your workflows on your cloud, priced per outcome. Your first agents are in production in 6 to 8 weeks.

Outcomes delivered
38%
less time to complete core workflows
Fortune 500 services company
12.4k
catalog items enriched by agents each month, with no added headcount
National pet retailer
52%
less manual effort spent on client reporting
Global financial services firm
6 weeks
from kickoff to the first agent running in production
Valuation advisory firm
Outcome-based pricing

Pay for outcomes. Own the result.

Every result in your plan has a price before we build. No hourly billing, no open-ended program.

Priced per outcome

We blend the team, the agents, and the model spend into one price per result. Your first engagement is a fixed price for the 6 to 8 week build.

Yours to own

Your agents, playbooks, and dashboard are your intellectual property, in your repositories.

Your infrastructure

Runs on your cloud and your model provider. No preference? We'll recommend one and adapt.

Conductors for your business

Multi-agent orchestration for enterprise workflows

Every business runs on workflows that depend on a few people who know how things really get done. Orchestra AI captures that knowledge, adds playbooks from 15+ years of Codal client work, and turns it into AI agents that run the work.

Conductor

The coordinating agent. It holds your goals and priorities and routes work.

Section Principals

Agents that each run one area of work, such as commerce operations, content operations, or customer support.

Specialized AI agents

Experts the Section Principals call on for specific tasks, from cloud engineering to research.

Your dashboard

Maturity per area, cost per run, and outcomes against your baseline, in one view.

Safe by design

Every agent has least-privilege access, runs in a sandbox, and logs every action to an audit trail you can inspect. Agents start by recommending only, and earn more autonomy after they pass tests on your data. You approve each step on the dashboard.

Pick a use case to see how the agents are arranged for it.

01 / 06
KPIs we track
  • Ticket-to-release lead time
  • Change failure rate
  • Review cycles per ticket
  • Defects caught before release
Your dashboard

Maturity per area, cost per run, and outcomes against your baseline, in one view.

Conductor agent
Delivery Conductor
Routes every ticket through a gated delivery chain, and holds the release calendar and committed dates.
Section Principal agent
Plan & Spec
PRD, ticket to plan, spec validation, architecture check
Tech lead approves the plan
Section Principal agent
Design & Build
Design feedback, code, unit tests, code review
Designer and reviewer sign off
Section Principal agent
Test & Release
Test cases, automation, defects, deployment
QA verifies before deploy
Forward deployed team

Codal's forward deployed engineers and product managers build it with you and tune it against your data. Your team takes the lead, and we stay alongside.

Same team on every use case
The process

From kickoff to production in 8 weeks or less

1 · Weeks 1 to 2

Learn & Intake

Intake agents read your process documents, tickets, and system data while our team interviews your process owners.

You getA current-state map, baselines, and the areas ranked by value.
2 · Weeks 2 to 4

Envision

We design the future state from research and prior Codal work, and align on it in a half-day Vision Workshop.

You getOutcomes, metrics, your first agents, a dated plan, and a price.
3 · Weeks 4 to 8

Build

We build the Conductor and first Section Principals, connect them to your systems, and run them in shadow mode before going live.

You getThe Conductor live, 1 to 3 areas in production, and your dashboard.
4 · Ongoing

Scale and run

Each area moves up the maturity model, and new areas are added on your schedule. Quarterly outcome reviews drive billing.

You getRising maturity, new areas, and a team trained to run it.

Your team takes the lead as the orchestra grows, and Codal's forward deployed engineers and product managers stay alongside.

AI maturity model

Where is your business on the AI maturity model?

Most companies are at Level 1: copilots and point tools that help individuals. Orchestra AI starts you at Level 2, where agents run defined workflows with people supervising. A Vision Workshop places you on the four-level model and leaves you with a dated plan to your first agents in production.

AI software delivery

AI SDLC: ship software faster, with a person at every gate

The same agents that run your operations can run your software delivery (the SDLC), from ticket to release. Codal runs its own delivery this way: a Conductor and its Section Principals move every ticket through a chain of agents, a person approves each key decision, and every run lands on your dashboard. We can run it on your backlog, or set it up inside your engineering team.

Delivered for you

AI Software Factory

Our agents work through your backlog in a gated chain, overseen by Codal's forward deployed engineers. Tickets go in, and reviewed, tested code lands in your repositories, with every step visible on your dashboard.

You getCommitted dates, code you own, and a live view of every run.
Installed in your team

AI SDLC enablement

A readiness assessment, tooling and repository setup, playbooks and gates for your teams, and training for engineers and leaders. Adoption is tracked on the same dashboard.

You getYour engineers shipping with AI agents within one quarter.
The delivery chain
  1. TicketIntake from Jira, Linear, or Azure Boards
  2. PRDPRD AuthorOwner approves
  3. PlanTicket to Plan
  4. Spec gateSpec ValidationTech lead approves
  5. DesignDesign Feedback LoopDesigner approves
  6. BuildAgentic Enablement
  7. ReviewCode ReviewReviewer signs off
  8. TestQA & Test Automation
  9. SecurityApplication Security Review
  10. DeployDeploymentRelease owner approves
One ticket, end to end. Every run is logged to your dashboard.
Plan your AI SDLC rollout
Agent library

Specialized AI agents

Each specialized agent carries a playbook written by one of our in-house experts, a set of permissions, a test it must pass, and a cost per run. Your Section Principal agents call on them when a workflow needs it.

82 agents
Strategy

AI Strategy & Roadmap

Sets AI priorities against your business goals and builds a dated roadmap.

A plan leadership can fund
Strategy

AI Readiness & Adoption

Assesses data, systems, and teams for AI, and plans adoption.

Know where to start
Data & integration

ERP & PIM Integration

Connects ERP and product data so orders, inventory, and catalog stay in sync.

Fewer manual handoffs
Migration & modernization

Database Migration

Plans and runs database migrations with parity checks before cutover.

Lower-risk migrations
Migration & modernization

Mainframe Batch to Cloud

Moves mainframe batch jobs to the cloud and tests results side by side.

Mainframe logic, modern stack
Support & ops

Prior Authorization

Prepares and tracks prior authorization requests, escalating exceptions to staff.

Faster approvals
FAQ

AI agent FAQs

You do. Your Conductor, your Section Principals, the playbooks as tuned to your business, and your dashboard configuration live in your repositories. Codal keeps its general playbook library and specialized agents, and you get a perpetual license to the copies running in your environment.

Yours, if you prefer. Orchestra AI runs on your cloud accounts and your model provider. If you have no preference, we'll recommend a provider and can pass model spend through at cost. Either way, cost per run is on your dashboard.

6 to 8 weeks from kickoff. Learn & Intake and Envision take the first 4 weeks; Build takes weeks 4 to 8. New areas are added on a schedule you set.

Agents help document your current state, so intake takes days instead of months. Envision reuses prior Codal work instead of starting from a blank page. Build ships one area at a time, so you see results before the next one starts.

Per outcome, not per hour. Your first engagement is a fixed price for the build. After that, billing follows a quarterly outcome review on a rolling 90-day term you can pause or stop. Some clients choose a lower base price plus a share of the measured gain.

Each agent has least-privilege access to named tools, runs in a sandbox, and logs every action. Agents that read external content carry prompt-injection defenses. No agent moves from recommending to acting until it passes a test against your data.

Agents start in shadow mode, recommending only. When they act, they act inside guardrails and send exceptions to a named person. Every action is reversible or logged, and the agent's test is updated when a miss is found.

They move from doing the work to supervising it. We train your owners to run the system, read the dashboard, and approve each step up in autonomy. Your team takes the lead, and we stay alongside.

An executive sponsor who owns the outcome, process owners for a few hours a week during Learn & Intake and Build, and IT support for system and cloud access.

Yes. Most clients start with one Conductor and one to three Section Principals in a single area, then expand once results are visible.

You get working agents you own in weeks, priced per outcome, built by senior practitioners. You aren't buying a framework, a multi-year program, or a dependency on one model vendor.

Orchestra AI works alongside them. Copilots help individuals; Orchestra AI runs workflows. The Conductor can route work to tools you already have.

Why Codal

Codal vs large AI consulting firms

Large firms sell maturity assessments, platforms, and multi-year programs. We deliver a working system you own in 6 to 8 weeks.

Area
Large consulting firms
Codal Orchestra AI
What you buy
A framework, a maturity assessment, a multi-year program
Working AI agents you own, live in 6 to 8 weeks
Billing
Hours and milestones; about 25% outcome-linked at most
Priced per outcome by design
Ownership
Often unclear when capability stays with you
Your IP and your repositories, written into the SOW
Model and cloud
Tied to vendor alliances
Your cloud and your model provider; we adapt to your stack
The team
3,000 to 85,000 AI practitioners
Small senior teams with 15+ years of client outcomes
Partnership
Hand off after delivery
We stay alongside as your team takes the lead
Proof in the pitch
Strategy decks
A running Conductor and a live dashboard
Vision Workshop

See what your business could run with AI agents.

A half-day working session with Codal's forward deployed team. This isn't a sales pitch. We look at your workflows together and leave you with a plan.

Who attends
Your executive sponsor and 2 to 3 process owners; from Codal, a forward deployed engineer and product manager
Format
Half day, remote or on site
You leave with
  • Your place on the four-level AI maturity model
  • The first areas of your business worth automating with agents
  • A dated plan to your first agents in production in 6 to 8 weeks
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