The AI-native PSA platform behind Eliza, now an OpenAI Partner Network firm

On June 14, 2026, OpenAI launched its Partner Network. Eliza, an AI-native consulting firm out of San Francisco, made the launch list. The other names on it: Accenture, Bain, BCG, McKinsey, and PwC.

That is unusual company for a firm this young. It also says something about how AI-native services firms are put together, and what they run underneath.

Eliza runs its operations on Operating. PSA stands for professional services automation, the system a services firm uses to staff projects, track time, forecast revenue, and invoice their customers. Operating is an AI-native PSA platform, and it is the operations backbone behind a firm OpenAI just named among its global partners.

We wrote up the setup in our Eliza customer story. The pattern is bigger than one firm. AI-native consulting firms, especially in the US, keep needing a different kind of PSA than the firms before them.

What happened with the OpenAI Partner Network

OpenAI announced the Partner Network on June 14, 2026, with a $150 million investment and a stated goal of certifying 300,000 consultants by the end of the year. The program is for firms that help enterprises actually deploy OpenAI models.

The launch group skews heavily toward the largest consulting and systems integration firms. Although growing arguably faster than 99% of consulting firms, Eliza is the outlier by size. Its CEO, Stephen Garden, has described OpenAI as the firm's exclusive frontier model partner.

Firms do not land in that group by accident. They tend to run lean and scale in bursts, which is the operating pattern older PSA tools were never built for.

What an AI-native consulting firm needs from a PSA platform

An AI-native PSA platform is professional services automation built for firms whose delivery model is AI-first: forward-deployed engineers, fast headcount growth, and engagements that mix fixed-scope builds with ongoing enablement.

A few things make these firms hard to run on legacy tooling.

The first is speed. An AI services firm can go from 20 to 100 people in a year when demand spikes, and staffing and hiring forecasts have to keep pace. Spreadsheets give out well before that.

The people are expensive and specialized too. When you are placing AI architects and forward-deployed engineers, knowing who is on the bench and who is billable this week is a financial question, not only an HR one.

Then there is the shape of the work. Revenue comes from engagements with start dates, end dates, and milestones, so it needs real project accounting and revenue recognition. Generic seat-based SaaS does not handle that well. You'll end up needing a specialized platform.

And these firms already run their own set of AI tools. A PSA that makes them rip out the CRM, or sits walled off from the AI stack they have built, is a non-starter. That last point is where most enterprise PSA tools lose these firms. We go deeper on it in PSA for AI consulting firms.

Why the US market makes this sharper

The US is where most of the demand for AI-native services sits right now, and where the OpenAI Partner Network is centered. The launch partners and the customers named alongside them, including eBay, T-Mobile, Paychex, and Agilent, are largely US enterprises.

That shapes what a PSA platform has to do. US AI consulting firms tend to sell into large enterprise accounts, carry US-style revenue recognition requirements, and compete on how fast they can staff a signed deal.

The reference-point PSA tools in the US market, NetSuite OpenAir, Kantata, and Certinia, were built for an earlier generation of consultancy that is finance-led and slow to reconfigure. They work for plenty of firms. They are a poor fit for a 100-person firm that doubled last quarter and wants its operational data wired into AI assistants. We compared the wider category in our top PSA platforms for consulting listicle, including where each tool actually fits.

Where Operating fits

Operating is the operational system of record for professional services firms, built for the AI-native, fast-scaling end of that market. It handles staffing, utilization, time tracking, project profitability, and revenue forecasting in one place, without asking you to replace your CRM or finance stack.

Two things matter for AI-native firms in particular.

First, the data model is consulting-specific. Positions, allocations, bench, planned versus actual hours, rate cards and revenue recognition for services firms are first-class concepts in Operating, not features bolted onto a generic project tool.

Second, Operating has an MCP Server and a REST API. For a firm that runs on AI, that means connecting assistants and agents directly to live operational data, and asking questions like who is free next week or which projects are over budget in plain language.

That fit is not theoretical. Eliza, an OpenAI Partner Network firm scaling fast in the US, runs its operations on Operating. The firms building the AI-native services category are the ones Operating is built for.

What Eliza's team says about Operating

Eliza's leaders have been public about the rollout. CEO Stephen Garden called it "an amazing partnership" and thanked the team for a rapid rollout. CTO Matthew Bishop was blunter:

"Platform is sooooo good. Can't imagine running a firm without it. Thank you for all the thoughtful product work."

For a firm hiring at Eliza's pace, standing that up quickly is worth real money. Staffing and forecasting are usually the first things to buckle when a team outgrows spreadsheets.

FAQ

What PSA platform does Eliza use?

‍Eliza, an AI-native consulting firm and a launch member of the OpenAI Partner Network, runs its operations on Operating. Operating manages Eliza's staffing, utilization, time tracking, and revenue forecasting as its system of record.

What is an AI-native PSA platform?

‍An AI-native PSA platform is professional services automation built for AI-first services firms. It supports fast scaling, project-based delivery, and connecting operational data to AI assistants through tools like an MCP Server and a REST API.

Which PSA platforms suit US AI consulting firms?

‍US AI consulting firms need PSA software built for fast hiring, enterprise revenue recognition, and AI integration. Operating targets this segment directly, while older US options like NetSuite OpenAir, Kantata, and Certinia were built for finance-led, slower-moving consultancies.

Is Operating used by OpenAI partners?

‍Yes. Eliza, named in OpenAI's Partner Network launch on June 14, 2026 alongside Accenture, Bain, BCG, McKinsey, and PwC, uses Operating as its PSA and operations backbone.