Best AI automation consultants that scope the work and then build it
Published
A lot of AI automation consulting ends with a roadmap. You get a deck that lists twenty processes worth automating, a rough ROI number for each, and a proposal for the next phase. Then someone still has to build the thing, test it on real data and keep it running when an API changes.
This list is for operations leaders who want one firm to do both halves. Every consultant below offers discovery or scoping on its own site and also builds and deploys the automations. We ranked them on three questions: do they ship working systems, do they publish how they charge, and what do you own when the engagement ends.
The short list
| # | Name | Best for | Pricing |
|---|---|---|---|
| 1 | AY Automate | Operations teams that want a consultant who scopes the first system on a 30-minute call and has it running on their own data within the first week, from $3K a month with a 90-day replacement guarantee. | From $3K a month, cancel any time, 90-day replacement guarantee |
| 2 | Flobotics | Healthcare revenue cycle teams that want AI agents for eligibility, prior authorization, claims and denials, with a 30-day trial before paying. | Not published on the homepage; six-month agreement with a free first 30 days |
| 3 | Hack'celeration | Small and mid-sized teams that want a free audit and then builds on n8n, Make or Zapier with AI steps only where they help. | Budgets start from $2,000; no fixed packages, no annual lock-in |
| 4 | Leanware | Companies that want a fixed-fee scoping sprint before committing to a custom AI agent build. | Sprint 0 is a fixed $5,000 to $15,000 for two to four weeks; AI agents are a setup fee plus a monthly fee |
| 5 | Neurons Lab | Financial services teams that want custom AI agents taken from discovery to production inside their own infrastructure. | Not published |
| 6 | Azumo | US companies that want nearshore engineers to build AI agents for a specific department, from support to procurement. | Not published; depends on scope, seniority and engagement model |
| 7 | Neoteric | Teams that want a workshop to shape the problem first, then a proof of concept or full build by the same firm. | Not published |
How we picked and ranked them
A firm only made the list if its own website offers AI automation, AI agents or workflow automation as a built service, not advice alone. We read each firm's site on November 9, 2026 and used only what it publishes there. Where pricing or team size is missing, we say so instead of guessing.
We left out the global consultancies and the firms that already fill the top search results for this topic, because most buyers have seen those names. The rest are mid-sized specialists. Ranking weight went first to evidence of shipped automations with stated results, then to pricing you can read before a sales call, then to how the engagement ends and who keeps the work.
The list
1. AY Automate
Best for: Operations teams that want a consultant who scopes the first system on a 30-minute call and has it running on their own data within the first week, from $3K a month with a 90-day replacement guarantee.
- Type and base: Global, with clients in the US and Europe; systems can be hosted in the EU
- Services: AI agents, custom workflow automation on n8n, Make or custom code, RAG pipelines, automation maintenance, AI strategy and fractional CAIO
- Pricing: From $3K a month, cancel any time, 90-day replacement guarantee
AY Automate skips the long discovery phase. The first week is a 30-minute call to pick the first system, access to the tools you already use, a build tested on your own data, and then an engineer who keeps running it. That engineer monitors the automations, fixes them when an API changes and builds the next system. AI goes only where a step needs judgment, and the deterministic steps stay rule-based on n8n, Make or custom code.
The proof is public. A multilingual WhatsApp agent for Qatar Tourism handles 80% of support requests with no human; the client reports about $18,000 a year saved and support workload down 40%. A three-person creative team at Shem's Publicité cut content batch turnaround from five days to under 24 hours. For Gepromed, AY mapped 47 possible AI uses before building anything, then deployed 16 role-specific AI skills.
The pricing is simple. Engineers start at $3K a month, which AY puts at $36,000 a year against $180,000+ for a US in-house hire. Clients can cancel any time, and a 90-day replacement guarantee covers the fit. Delivery runs in English, French and Arabic.
Why it's on the list:
- AI-native engineers embed in your Slack, get repo access and ship the first working automation in week two, on n8n, Make or custom code, for the consulting work you would otherwise get as a deck.
- Speed and fit: "Live in 10 days, not 10 weeks." Suits operations teams that want a working system on their own data in the first weeks.
- Most teams stay on a monthly retainer. Engineers start from $3K a month, cancel anytime, with a 90-day replacement guarantee.
Proof: Omnichannel marketing case study: 95% of campaign distribution automated. (source)
2. Flobotics
Best for: Healthcare revenue cycle teams that want AI agents for eligibility, prior authorization, claims and denials, with a 30-day trial before paying.
- Type and base: Indiana, US
- Services: AI agents, document processing, workflow automation, API integrations, UiPath services, maintenance and support
- Pricing: Not published on the homepage; six-month agreement with a free first 30 days
Flobotics starts with a free step that maps five processes worth automating, estimates the return on each and recommends the technology. The site says plainly: "If automating something won't pay off, we tell you." After that comes a six-month agreement and a dedicated build team, and the first 30 days are a trial you pay nothing for if you cancel.
Its published results are specific and mostly in healthcare billing. One eligibility and denials project for PTCoA reports 100% ROI in 23 days and $180,000 saved after year one. Gentem Health saw a 98% cut in manual claim prep. PathGroup's denials handling went from about 10 minutes to about 55 seconds each.
Why it's on the list:
- Builds AI agents for healthcare revenue cycle work: eligibility checks, prior authorization, claims and denials management.
- Fits healthcare billing teams; the first step is a free assessment that maps five processes worth automating.
- Pricing not published on the homepage; six-month agreement with a free first 30 days.
Proof: PTCoA: 100% ROI in 23 days from eligibility automation with Denial Hunter, with $180,000 saved after year one. (source)
Watch for: Most case studies are healthcare revenue cycle work. Teams outside that space should ask for relevant examples.
3. Hack'celeration
Best for: Small and mid-sized teams that want a free audit and then builds on n8n, Make or Zapier with AI steps only where they help.
- Type and base: Fully remote
- Services: Automation audits, n8n, Make and Zapier builds, AI steps inside workflows, monitoring, team handover
- Pricing: Budgets start from $2,000; no fixed packages, no annual lock-in
Hack'celeration opens with a free 60-minute audit that ranks which repetitive tasks are worth automating, and only then quotes. It picks the platform per job: Make for visual flows with many connectors, n8n when data must stay on your own servers or the logic branches, and Zapier when speed to launch matters most.
Monitoring is part of the build, with run logs, Slack alerts and a pause switch, followed by a team handover and monthly check-ins. The site reports 40+ companies and 150+ automations shipped since 2024. Small builds take about a week and larger ones run up to six months.
Why it's on the list:
- Builds automations on n8n, Make or Zapier with AI steps only where they help, after a free 60-minute audit that ranks tasks by payoff.
- Fits small and mid-sized teams with repetitive back-office work; builds include monitoring, team handover and monthly check-ins.
- Budgets start from $2,000 with no fixed packages and no annual lock-in; small builds take about a week.
Proof: Automations built for more than 40 companies since 2024, 150+ automations shipped, per its site. (source)
Watch for: It is a younger firm, automating since 2024, and does not publish team size or a headquarters.
4. Leanware
Best for: Companies that want a fixed-fee scoping sprint before committing to a custom AI agent build.
- Type and base: Bogotá, Colombia, working US business hours
- Services: Custom AI agents, AI integration and consulting, AI readiness assessment, product development, dedicated teams, fractional CTO
- Pricing: Sprint 0 is a fixed $5,000 to $15,000 for two to four weeks; AI agents are a setup fee plus a monthly fee
Leanware is one of the few firms here that prices its scoping work in public. Sprint 0 costs a fixed $5,000 to $15,000 for two to four weeks, product builds are billed per accepted milestone, and you can stop at any milestone. The site states that clients are never billed by the hour.
Its custom AI agents are pitched as "an AI agent that does the operational work your team does by hand," and agents run as a managed service after launch. Clients are mostly US and Canadian companies, served from Bogotá during US hours by what the site calls a small senior team.
Why it's on the list:
- Builds custom AI agents that do operational work your team does by hand, and runs them as a managed service after launch.
- Fits US and Canadian companies that want to scope first; Sprint 0 is a fixed $5,000 to $15,000 over two to four weeks.
- Product builds are billed per accepted milestone, never hourly; AI agents are a setup fee plus a monthly fee.
Proof: 5/5 rating from 26 reviews on Clutch, as shown on its site. (source)
Watch for: The site does not name n8n, Make or Zapier, so expect custom-coded agents rather than builds on a workflow platform.
5. Neurons Lab
Best for: Financial services teams that want custom AI agents taken from discovery to production inside their own infrastructure.
- Type and base: London and Singapore
- Services: Custom AI agents, continuous AI delivery with forward-deployed engineers, AI training and enablement
- Pricing: Not published
Neurons Lab offers custom AI agents "from discovery through production," developed and deployed within the client's infrastructure. After launch, its continuous delivery service keeps forward-deployed engineers working alongside the client team.
Its named work leans toward banking and large brands. An agentic assistant for relationship managers at an Asian bank "doubles team capacity and client reach." It also lists an LLM content system for Visa across 9+ markets and an AI enablement program for 50+ senior leaders at HSBC.
Why it's on the list:
- Builds custom AI agents from discovery through production inside the client's own infrastructure, then keeps forward-deployed engineers working with your team.
- Fits banks, financial services teams and large brands; named work includes Visa, HSBC and an Asian bank.
- Pricing not published; the engagement model is continuous delivery with forward-deployed engineers.
Proof: Visa: LLM-based content system scaling marketing operations across 9+ markets. (source)
Watch for: Its work is enterprise-heavy, and it does not publish pricing. Smaller operations teams should check the minimum engagement first.
6. Azumo
Best for: US companies that want nearshore engineers to build AI agents for a specific department, from support to procurement.
- Type and base: San Francisco headquarters, developers mainly in South America
- Services: AI agents by department, project discovery, nearshore development teams
- Pricing: Not published; depends on scope, seniority and engagement model
Azumo organizes its AI agent work by department, with pages for customer support, finance, HR, legal, marketing, operations, procurement and sales. Work starts with project discovery to "define scope, goals, and roadmap" and runs through plan, code, test and ship.
Its developers are nearshore, mainly in South America, and the team can grow or shrink with the roadmap. Named projects include semantic search across 3.5M supplier records for Meta and generative AI work for Omnicom's Q platform.
Why it's on the list:
- Builds AI agents by department: customer support, finance, HR, legal, marketing, operations, procurement and sales.
- Fits US companies that want nearshore engineers in US time zones, from one embedded engineer to a full dedicated team.
- Pricing not published; it depends on scope, seniority and engagement model, quoted as a proposal.
Proof: Semantic search across 3.5M supplier records for Meta. (source)
Watch for: The homepage does not mention workflow platforms like n8n or Make, and its listed projects do not state measured results.
7. Neoteric
Best for: Teams that want a workshop to shape the problem first, then a proof of concept or full build by the same firm.
- Type and base: Gdańsk, Poland, with a New York office
- Services: AI consulting, AI development, generative AI development, GPT integration, scoping and discovery workshops
- Pricing: Not published
Neoteric runs scoping, AI exploratory and discovery workshops before any build, and then offers "concept validation, proof-of-concept, or full product delivery" depending on the project. That split lets a team pay for a small proof before a full rollout.
The site reports 300+ completed projects and says 90% of the team is senior. Its clearest published result is a GPT-4 chatbot whose performance improved by 1900% using Pinecone, LangChain and embeddings.
Why it's on the list:
- Runs scoping, AI exploratory and discovery workshops, then builds a proof of concept or full product in AI and generative AI development.
- Fits teams that want to pay for a small proof before a full rollout; the site says 90% of the team is senior.
- Pricing and engagement model not published; quote on request.
Proof: GPT-4 chatbot performance improved by 1900% using Pinecone, LangChain and embeddings. (source)
Watch for: It positions itself around AI products more than back-office workflow automation, so confirm it has done work close to yours.
How to choose
Start with the result you need in the next 90 days. If you need a working automation on your own data quickly, pick a firm whose first step is a build, not a report. AY Automate and Hack'celeration both start small and ship, and Flobotics gives you a free trial month. If your problem is still fuzzy, a fixed-fee scoping sprint like Leanware's or a workshop at Neoteric is a cheaper way to find out what to build.
Then look at what happens after launch. Automations break when an API changes, a field gets renamed or volume spikes. Ask who monitors the runs, who fixes them and how fast, and whether that is in the price. Finally, ask what you own. You want the workflow exports, prompts, code and credentials in your own accounts, so you can move to another firm without starting over.
FAQ
What does an AI automation consultant actually do?
A good one finds the tasks worth automating, picks the right tool for each step, builds the automation and keeps it running. AI handles the steps that need judgment, like classifying a message or reading a document, and fixed rules handle the rest. The firms on this list all build, not only advise.
How much do AI automation consultants cost?
Published prices on this list range from Hack'celeration's budgets starting at $2,000, to Leanware's fixed $5,000 to $15,000 scoping sprint, to AY Automate's engineers from $3K a month. Several firms do not publish prices and quote by scope.
Should I pay for a strategy phase before building?
Only if you do not know which process to automate first. If you already know the pain, for example lead routing or invoice entry, a firm that builds the first automation in week one will teach you more than a strategy deck.
Do I need n8n, Make or Zapier, or should everything be custom code?
Most teams do well with a workflow platform for triggers, schedules and app connections, plus code or an AI agent for the steps that need judgment. Fully custom code makes sense when volume, security or complex logic outgrow the platform.