Metacto

The team has built and sold companies, holds patents, and has scaled systems to millions of users. Its experience includes mid-market operations and the internal systems businesses use to run their work.

Engineering team

• Garrett Fritz, Partner and CTO: MIT aerospace engineer, former CTO, company builder, and US patent holder.
• Chris Fitkin, Partner and Co-Founder: More than 20 years building production software, AWS Certified Solutions Architect, and founder of multiple companies.
• Jamie Schiesel, Head of Engineering: More than 15 years building engineering teams and specializing in AI-native execution.
• Valerie Moore, Director of Product: Product leader focused on user-centered experiences, engagement, and business growth.

Reported experience

Metacto reports 100+ projects in production, more than 20 years of experience, systems scaled to millions of users, and a 5.0 rating on Clutch.

Example workflows include:

• Tier 1 support and routine request resolution
• Escalation brief preparation
• Security alert triage
• Approved remediation
• Project closeout checking
• Service reporting

Operating boundaries

Technicians and security analysts retain high-risk resolution, remediation, and incident decisions. Service owners define policies, approval gates, exception paths, and account-specific commitments. Teams maintain tenant and access boundaries, source records, and official service history.

Each workflow can use tenant-aware identity, scoped access, account-specific retrieval, explicit write-back destinations, and an audit trail of access, proposals, approvals, results, and escalations. The agent works with existing PSA, ITSM, RMM, documentation, identity, security, communication, finance, CRM, and project tools rather than assuming they will be replaced.

Measuring results

Metacto recommends baselining the selected workflow before and after implementation. Measures can include volume, cycle time, manual touches, labor cost, escalation, rework, SLA impact, billing delay, risk exposure, corrections, and policy exceptions.

A suitable first workflow has repeatable steps, accessible account context, a clear owner, and a measurable business consequence.

AI and software solutions

Metacto helps growing companies assess readiness, operationalize AI, build software systems, and add engineering execution. Its solutions include:

• Operational AI: Production AI systems that connect fragmented systems, business knowledge, and manual coordination.
• Agentic Workflows: Production AI for broken operational workflows.
• Autonomous Agents: Repeatable operational roles with enterprise controls.
• Continuous AI Operations: Monitoring and improvement for production AI systems.
• Systems Architecture Review: CTO-level review of systems, integrations, and AI feasibility.
• AEMI Assessment: A 30-day assessment of whether AI is improving engineering delivery and where leverage is being lost.

Product development

Metacto also provides product design and discovery, custom software development, mobile app development, AI development, MVP web apps, spreadsheet-to-app development, and project rescue.

Growth and monetization

Services include app growth, app analytics, app store optimization, Google App Campaigns, app monetization, subscription management, and in-app purchases.

Flexible execution

Staff augmentation, fractional CTO support, and Lightning Pods provide additional engineering capacity. Lightning Pods are compact execution teams with senior operators, defined roles, AI workflows, and purpose-built agents.

How it works

1. Find: Identify recurring work worth giving to an AI agent.
2. Build: Provide the agent with systems, context, rules, and approvers.
3. Prove: Run it under human review and measure what changed.
4. Operate: Monitor the workforce, improve each agent, and add the next one.

AI roles can support work such as compliance operations, revenue reactivation, scholarship discovery, bid and RFP preparation, marketing campaigns, and quality inspection.

Starting point

Metacto's AI Workforce Review takes 45 minutes, requires no preparation, and maps one or two potential opportunities. The review determines whether a recurring workflow is a fit and what putting it into production would require.

Roles can be configured for different levels of autonomy, including drafting, recommending, submitting with human approval, or prohibiting actions such as committing funds. Human feedback and measured performance determine whether a task earns a higher tier.

Context engineering

Metacto structures a company's rules, systems, history, exceptions, CRM data, contracts, standard operating procedures, and approval rules into governed business context. Outputs can include citations, and workflows can include permissions, tools, human review, evaluation, and observability.

Vocion

Every new role is built on Vocion, Metacto's open-source operating layer. Vocion runs in the customer's environment and reuses context, permissions, and review paths across roles. It is open source under MPL-2.0 and can run in AWS.

Metacto's operating principles include measuring business outcomes, shipping production systems rather than demos, keeping humans in the loop, making build-or-no-build recommendations, using senior engineers, and staying accountable to the metric after launch.