LeewayHertz vs Enorness: Which AI Development Team Fits Your Project?

Enterprise buyers researching AI development teams in 2026 keep running into the same handful of names. LeewayHertz is one of them: a firm founded in 2007, based in San Francisco, with roughly 180 to 200 employees, acquired by The Hackett Group in September 2024. Two years into that acquisition, it remains a credible choice for large, multi-agent enterprise builds. It is not the only choice, and for a meaningful share of buyers, it is not the right size.

Most comparisons of AI development teams stop at a feature list and a price range, which misses the actual decision buyers are making. The real question isn't which firm has the longer client roster or the deeper bench of frameworks. It's which firm is sized to the problem that's actually on the table, and which one will still be easy to work with six months after launch, when the first round of iteration requests comes in.

This piece breaks down where LeewayHertz fits, where it doesn't, and what to weigh against alternatives like Enorness.

Where LeewayHertz Fits

LeewayHertz's core strength is depth in multi-agent architecture and orchestration frameworks: LangChain, LangGraph, CrewAI, AutoGen. That technical depth is paired with enterprise consulting reach through the Hackett Group acquisition. Typical engagements run on fixed-project or dedicated-team pricing, with minimums reported between $25,000 and $30,000, and full project costs commonly landing between $50,000 and $200,000. Team size sits in the 180 to 250 range depending on the source, and the client base skews toward financial services, healthcare, manufacturing, and retail.

That profile suits a specific buyer: a large enterprise running a big, multi-system AI initiative, with a procurement process built for six-figure vendor contracts and the patience to work through a larger organization's project intake. The Hackett acquisition adds a consulting layer that some buyers want and others find adds a step between them and the people actually building the system.

For a bank rolling out a multi-agent fraud detection system across a dozen regional branches, or a hospital network standardizing an AI-assisted intake process across facilities, that combination of framework depth and consulting reach is genuinely useful. The scale of the rollout justifies the scale of the vendor.

Where The Fit Breaks Down

Two things trip up buyers who default to the biggest name they've heard of.

Minimum spend. A $25,000-plus floor before a project even starts prices out mid-market businesses and teams that want to pilot an AI agent or automation before committing to a full build. Not every enterprise AI need is a six-figure initiative. Some are a single workflow costing a team real hours every week, and that workflow doesn't need a 200-person firm's fixed-project machinery to fix.

Turnaround. Larger firms with layered account structures, sales, solutions architecture, delivery, and post-acquisition consulting integration, add coordination overhead. That overhead is often the point for a Fortune 500 buyer who wants process rigor. It's friction for a business that needs a working agent in weeks, not a quarter.

Where Enorness Fits Instead

Enorness works at a different point on the same spectrum. Headquartered in Sheridan, Wyoming, the AI Solutions and Agents practice builds custom AI agents, workflow automation, and enterprise software engineering, sized to the actual scope of the problem rather than a fixed-project minimum built for enterprise procurement. Teams that want to hire an AI development team without clearing a $25,000 floor first typically start here.

The team structure is leaner by design. Fewer handoffs sit between the people scoping the work and the people building it, which shortens the distance between deciding you need something and having it running. Train Gym is a working example: an AI booking agent that qualified 69 leads with zero staff involvement, built and deployed without a six-figure floor to clear first.

This isn't a claim that smaller always beats bigger. A business running a genuinely enterprise-scale, multi-system agent rollout across a regulated industry may be better served by LeewayHertz's scale and Hackett-backed consulting bench. A business that needs a specific workflow automated, a custom AI agent built and integrated into existing systems, or custom enterprise software shipped without a six-figure floor is better served by a team sized to that problem.

That second group is larger than the enterprise AI conversation usually assumes. It includes the operations lead who wants one manual, repetitive process handled by an agent before asking for budget to automate five more. It includes the mid-market business that has already talked to two large firms, gotten two six-figure proposals, and is now looking for a team that will scope a smaller first project and let the results make the case for the next one.

What Buyers Often Miss

The comparison usually stops at price and headcount, but two other factors shape how a project actually plays out.

Integration reality. Most AI agent work isn't a greenfield build. It plugs into an existing CRM, booking system, ticketing tool, or internal database that was never designed with an AI layer in mind. A firm with a large, structured delivery process can handle that integration well, but the discovery and scoping phase alone can take weeks before any code gets written. A smaller team scoping and building the same integration often compresses that timeline because the person mapping the existing system is the same person writing the connector code.

Ongoing iteration. An AI agent rarely ships once and stays untouched. Prompts get refined, edge cases surface, and the workflow it automates changes as the business changes. A fixed-project engagement with a large firm often treats that iteration as a new scope of work, with a new statement of work and a new timeline attached. A team built around smaller, closer engagements tends to fold that iteration into the relationship instead of restarting the sales process every time something needs adjusting.

Neither point makes one firm categorically better. They matter more for a buyer who expects the system to keep evolving after launch than for a buyer running a single, well-defined rollout with a fixed end date. Asking a shortlisted firm how it handles a change request six weeks after launch, before signing anything, usually reveals more about the real working relationship than the pitch deck does.

How To Evaluate Any AI Development Team

Regardless of which firm is on the shortlist, the same questions surface the right fit.

What's the actual minimum engagement, and does it match the size of the problem being solved? A $25,000 floor is a rational filter for a $500,000 initiative and a poor fit for a $15,000 pilot.

Who does the work? The people in the sales conversation, or a different delivery team met only after signing? Team continuity affects both speed and quality.

How is pricing structured? Fixed project, dedicated team, or scoped to the specific deliverable. Each model shifts risk differently between buyer and vendor.

Has the firm been acquired or restructured recently, and what does that mean for the roadmap? LeewayHertz's Hackett acquisition is public record and worth asking about directly if evaluating them.

What's the realistic timeline from kickoff to a working system? Not a proposal, a working system.

If workflow automation or multi-agent AI systems are on the table, these five questions apply the same way whether the firm on the shortlist has 20 people or 2,000.

The Takeaway

LeewayHertz is a legitimate choice for large-scale, multi-agent enterprise builds with the budget and timeline to match. For businesses that need custom AI agents or software built faster, at a scope that doesn't start at a five-figure minimum, and without an added consulting layer between the buyer and the build, Enorness is built for that gap. If you're ready to hire an AI development team sized to your project, book a strategy call and request a project quote before committing to a vendor sized for a different problem.

Frequently Asked Questions

Is LeewayHertz a good fit for a small AI automation project?

Not usually. Reported minimums between $25,000 and $30,000 make LeewayHertz a better fit for large, multi-system initiatives than for a single workflow or a pilot project.

What changed at LeewayHertz after the Hackett Group acquisition?

The September 2024 acquisition added a consulting layer through Hackett's enterprise advisory reach. That can be valuable for buyers who want process rigor, and it can also add steps between the buyer and the delivery team.

How is Enorness different from a large multi-agent development firm?

Enorness sizes engagements to the actual scope of the problem instead of a fixed-project minimum, and keeps the team scoping the work close to the team building it, which shortens delivery time.

What questions should a buyer ask before hiring any AI development team?

Ask about the actual minimum engagement size, who does the hands-on work, how pricing is structured, whether the firm has recently been acquired or restructured, and the realistic timeline to a working system.

Does a bigger AI development team always mean better results?

Not necessarily. A larger firm brings more resources and process, which suits complex, regulated, multi-system rollouts. A smaller, leaner team often moves faster on a single workflow or a specific integration where fewer handoffs matter more than headcount.

What kind of AI agent projects has Enorness delivered?

Enorness built an AI booking agent for Train Gym that qualified 69 leads with zero staff involvement, one example of the custom AI agent work handled through the AI Solutions and Agents practice.

How long does an AI agent project usually take from kickoff to launch?

It depends on scope and integration complexity, but a single-workflow agent connected to one existing system typically moves faster with a leaner team than with a large firm's layered account structure, since fewer handoffs sit between scoping and building.

How much does it cost to hire an AI development team for a single workflow?

Cost depends on integration complexity and the systems involved, but a scoped, single-workflow build doesn't require clearing a $25,000-plus minimum. Book a strategy call to get a project quote sized to the actual problem.