AI Strategy & Roadmap
Sets AI priorities against your business goals and builds a dated roadmap.
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.
Every result in your plan has a price before we build. No hourly billing, no open-ended program.
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.
Your agents, playbooks, and dashboard are your intellectual property, in your repositories.
Runs on your cloud and your model provider. No preference? We'll recommend one and adapt.
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.
The coordinating agent. It holds your goals and priorities and routes work.
Agents that each run one area of work, such as commerce operations, content operations, or customer support.
Experts the Section Principals call on for specific tasks, from cloud engineering to research.
Maturity per area, cost per run, and outcomes against your baseline, in one view.
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.
Intake agents read your process documents, tickets, and system data while our team interviews your process owners.
We design the future state from research and prior Codal work, and align on it in a half-day Vision Workshop.
We build the Conductor and first Section Principals, connect them to your systems, and run them in shadow mode before going live.
Each area moves up the maturity model, and new areas are added on your schedule. Quarterly outcome reviews drive billing.
Your team takes the lead as the orchestra grows, and Codal's forward deployed engineers and product managers stay alongside.
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.
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.
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.
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.
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.
Sets AI priorities against your business goals and builds a dated roadmap.
Assesses data, systems, and teams for AI, and plans adoption.
Connects ERP and product data so orders, inventory, and catalog stay in sync.
Plans and runs database migrations with parity checks before cutover.
Moves mainframe batch jobs to the cloud and tests results side by side.
Prepares and tracks prior authorization requests, escalating exceptions to staff.
Designs, provisions, and reviews multi-account, multi-region cloud architecture; cost and security posture reviews.
Builds and maintains CI/CD pipelines, infrastructure as code, and release management.
Sets service levels, builds observability, and writes and runs incident runbooks.
Designs studies, drafts interview guides, synthesizes findings into decisions.
Audits legacy interfaces, aligns to your design system, and proposes and prototypes redesigns.
Models content, designs schemas, migrates content, and automates editorial workflows in Sanity.
Data mapping and migration runbooks for Shopify Plus, BigCommerce, Shopware, and Elastic Path.
Test plan generation, regression suites, and release sign-off evidence.
Pipeline design, dashboard build, and KPI definitions tied to outcomes.
Content briefs, localization, and governance checks on Contentstack and Sanity.
Prepares your codebase for AI interaction: repo conventions, context files, tool access, evaluation harness.
Handles standard support tickets and squashes routine bugs inside guardrails, escalating exceptions.
Monitors integrations 24/7 and auto-resolves failures end to end, with an audit trail.
Runs and analyzes conversion rate optimization experiments autonomously, from Codal's experiment library.
Enriches product data, attributes, and imagery metadata against your taxonomy at scale.
Pricing and promotion checks, assortment reviews, and out-of-stock exception handling.
Triages failed orders, payment exceptions, and fulfillment exceptions to resolution or escalation.
Schema design, content modeling, and editorial workflow automation in Contentstack.
Translates and adapts content across locales with brand-voice and terminology checks.
Technical and semantic SEO plus generative engine optimization so answer engines cite you.
WCAG audits, remediation proposals, and regression checks on every release.
Checks new UI against your design system and flags drift before it ships.
Clusters support tickets, reviews, and interviews into ranked insight reports.
Runs onboarding checklists, document collection, and status communication end to end.
Classifies, prioritizes, and routes support cases with suggested resolutions.
Keeps help centers and internal runbooks current as products and processes change.
Runs close tasks, reconciliations, and variance checks on your calendar.
Assembles recurring client and executive reporting packs from your systems of record.
Checks content and workflows against regulatory rules and flags exceptions with citations.
Continuous spend analysis, rightsizing proposals, and anomaly alerts across accounts.
Coordinates release trains, changelogs, and rollback plans across teams.
Reads COBOL, copybooks, and JCL, documents intent, then converts to Java or .NET with side-by-side parity tests before cutover.
Inventories IBM i (AS/400) programs, RPG, and DB2 files, and plans and executes the move to cloud services with zero-downtime runbooks.
Refactors RPG and CL programs into API-ready services and modern UI, keeping green-screen workflows working during the transition.
Turns spreadsheet-run processes into governed web apps: extracts formulas, macros, and lookups, then builds validated screens and roles.
Maps a legacy estate end to end: dependencies, dead code, data flows, and risk, producing a prioritized modernization backlog.
Carves a monolith into domain services behind an API gateway, one seam at a time, with strangler-pattern releases.
Replaces Microsoft Access, VBA, and Lotus Notes tools with supported web applications and migrated data.
Upgrades .NET Framework and legacy Java applications to current LTS versions, fixing breaking changes and dependencies.
Pulls pricing, eligibility, and approval rules out of legacy code and spreadsheets into a documented, testable rules catalog.
Converts Excel formulas, nested lookups, and pivot logic into tested functions with the original workbook as the oracle.
Rebuilds entity models and lineage from undocumented databases and flat files, producing a target schema and mapping.
Runs legacy and new systems side by side on historical inputs and reports every discrepancy with root cause.
Profiles, cleanses, and deduplicates customer, product, and supplier records against your matching rules.
Enforces ownership, definitions, and change approval for shared data across ERP, PIM, CRM, and commerce.
Reviews codebases, architecture, security, and team practices for acquisitions and investments, with a risk-scored report.
Quantifies run cost, risk, and opportunity for legacy platforms and builds the case for modernize, replace, or retire.
Runs discovery sprints: problem framing, opportunity sizing, prioritized backlog, and a dated delivery plan.
Scores commerce, CMS, cloud, and data platforms against your requirements, cost model, and team, with a defensible recommendation.
Designs the test pipeline, metrics, and governance for continuous product and growth experiments.
Designs REST and GraphQL contracts, versioning, and documentation, and reviews every change for consistency.
Static and dependency scanning, threat modeling, and remediation guidance on each release, mapped to OWASP and SOC 2.
Load tests, profiles, and tunes web and API performance against Core Web Vitals and SLO targets.
Maps front-stage and back-stage steps of a service, exposing handoffs and failure points to redesign around.
Turns research findings into clickable prototypes in your design system for testing within days.
Builds customer-specific pricing, quote approval, and contract catalog flows for manufacturers and distributors.
Configures and monitors subscription, replenishment, and loyalty programs, flagging churn and billing exceptions.
Automates RMA, warranty, and repair workflows for consumer goods and automotive parts with status updates to customers.
Migrates content from Sitecore, WordPress, Drupal, or AEM into Sanity or Contentstack with model mapping and redirects.
Tags, describes, and rights-checks product and brand imagery so DAM and PIM assets are searchable and compliant.
Onboards trading partners and maps EDI documents for manufacturing, logistics, and distribution flows.
Assembles and checks submission packages for life sciences, healthcare, and financial regulators against current guidance.
Turns a request or ticket into a product requirements document with goals, scope, acceptance criteria, and open questions for the owner to approve.
Breaks an approved PRD into an implementation plan: tasks, sequencing, affected systems, estimates, and risks.
Checks specs and plans against architecture standards, security policy, design system, and existing APIs before build starts.
Reviews screens and prototypes against the design system, accessibility, and the PRD, and rounds feedback with designers before handoff.
Reviews every pull request for correctness, security, performance, and conventions, with suggested fixes; a human reviewer signs off.
Prepares releases, runs pre-deploy checks, executes gated deployments with rollback plans, and confirms health after launch.
Maps and validates FHIR and HL7 exchanges between EHRs, payers, and partner systems, monitoring interfaces for errors.
Builds and updates DCF, comparables, and precedent transaction models from data room inputs, with assumptions logged for reviewer sign-off.
Runs income, sales comparison, and cost approaches on property data and market comps, producing review-ready valuation reports.
Collects and verifies onboarding documents, runs KYC and sanctions checks, and routes exceptions to compliance.
Forecasts demand, flags stock-outs and overstock across channels and stores, and recommends replenishment.
Handles store and field task lists, incident reports, and checklists with photo evidence and exception routing.
Designs and delivers AI literacy and decision-making programs for executives and managers across offices, with follow-up coaching.
Collects, validates, and routes patient intake and insurance claim documents with HIPAA-aware handling and exception queues.
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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.
Large firms sell maturity assessments, platforms, and multi-year programs. We deliver a working system you own in 6 to 8 weeks.
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.
A Codal expert will reply within one business day to set a time for your Vision Workshop.