A SaaS growth loop runs from product to positioning to go-to-market, and AI help pays where that loop is weakest. The best AI consultants for SaaS companies follow it: Spiral Scout or Nic Chin for the product, Genesys Growth for positioning, Arise GTM for go-to-market. One more name on the list is mine: I'm Lilach Bullock, and I compiled it.
Ten names: SquareShift, Spiral Scout, SPD Technology, Nic Chin, Genesys Growth, Arise GTM, Oren Greenberg, Data-Mania, NextCycle.ai and Delegated AI, and me. Each one's own site mentions SaaS or B2B SaaS, and those sites are my sources, read as of Nov 2026. None of them gives a base I could confirm, so you won't find a location for anyone here.
Before you think about stages, look at your stack, because it narrows the list faster. SquareShift's solution list is built around Google Cloud and Elastic tooling. Arise GTM says its plans are built on HubSpot or Salesforce. A consultant who's brilliant on someone else's stack will spend your first month learning yours, so ask what they've built on before you ask what they've built.
Which part of the loop is weak?
| Loop stage | The question to ask | Who to look at |
|---|---|---|
| The product itself | Can you ship AI features that hold up in production? | SquareShift, Spiral Scout, SPD Technology, Nic Chin |
| Positioning and launch | Can you sharpen the story and ship content fast? | Genesys Growth |
| Go-to-market | Can sales, marketing and success work from one plan? | Arise GTM, Oren Greenberg, Data-Mania |
| Product and engineering leadership | Can you lead both, inside our weekly rhythm? | NextCycle.ai |
| Keeping customers | Can onboarding and renewal tasks run themselves? | Delegated AI |
| Being found, and a team that uses AI | Can you get us recommended and train the team? | Me |
AI inside the product
- SquareShift. Its page on AI consulting for SaaS covers engineering and support workflows, product analytics, search, observability and software delivery. It lists production AI with retrieval and agents, agentic workflows with review points and audit trails, and AI search built into your product. Check its stack matches yours.
- Spiral Scout. Its site says it turns messy workflows into agent-driven production systems, with guardrails, audit trails and logic your team can change without waiting on engineering. It lists a readiness audit, implementation consulting, agent automation and a technical co-founder service, and names AI and SaaS among what it builds for. It's a build firm, so expect a project, not a monthly sounding board.
- SPD Technology. Its site lists AI consulting, an AI-native studio for zero-to-one products, MLOps and data platforms next to software product development. It also publishes a comparison of AI consulting firms for fintech and SaaS, framed around who fits your stage. Useful reading, but it's also its own marketing.
- Nic Chin. His site calls him an independent AI consultant and fractional CTO who architects production AI systems that survive real users, compliance and scale. It says he's shipped systems across legal, fintech, enterprise SaaS and pharma, and works across the UK, US and Europe. One person, architecture-led, not a go-to-market adviser.
Positioning and launch
Genesys Growth. Its site describes B2B SaaS product marketing and content consulting for Series A and later: go-to-market strategy, positioning, websites and content. It calls itself an AI-pilled go-to-market operator, names the founder as Matteo, and advertises a four-week cohort on building an AI go-to-market system in Claude Code. It's marketing, not engineering, and pitched at companies past their first round.
Running go-to-market
Arise GTM. Its page says it helps B2B SaaS and fintech companies line up sales, marketing and customer success around one plan, built on HubSpot or Salesforce. Its menu lists product-led growth, account-based marketing, revenue operations, an AI consultancy and GTM engineering. Strong if that's your stack; less relevant if it isn't.
Oren Greenberg. His site calls him an AI go-to-market advisor for B2B SaaS and fintech, offering growth audits, strategy and custom AI systems, built on 20 years of B2B marketing and building AI systems for go-to-market since 2020. It lists an AI skills gap analysis. He's an individual, so ask who does the build and what his capacity is.
Data-Mania (Lillian Pierson). Its site describes a fractional CMO practice for data, AI and B2B SaaS startups, building AI-native growth systems, with strategy tailored to funding stage, and says its founder's portfolio includes VC-backed and bootstrapped tech companies. Marketing leadership only; no product or engineering work.
Product and engineering leadership
NextCycle.ai. Its site describes fractional product and engineering leadership for software companies, from startups to established businesses, lists a B2B SaaS case study, and says it has shipped AI as well as advised on it. You get leadership, not extra delivery hands.
Keeping customers
Delegated AI. Its use-case list includes B2B SaaS, with onboarding, churn alerts and upsell triggers as the automations it describes. It places an AI automation specialist with you rather than advising, which is a different thing from a consultancy: you manage the person. For a customer success team drowning in renewals admin, that can be the right shape. If you'd rather hire an adviser for automation, my page on what an AI automation consultant does explains the difference.
Where I come in on a SaaS team
I'm a British AI implementation consultant, AI trainer and fractional CMO with 23 years in marketing, all in on AI since 2024, and most of my work is with SaaS marketing teams. I'm one person and a practitioner. I don't do product engineering, build custom software or train models. What I do is make a SaaS site findable in AI assistants and search, and train the marketing team to use AI on its own tasks, finishing with a one-page agreement on safe use. I work in English with clients worldwide, in person or live online.
Want AI doing the heavy lifting in your marketing?
I build the systems that handle the boring 80 percent, so you get your week back. Done properly, with the human kept in.
The evidence is on my own site, written up in my AI SEO case study. Over January to September 2026 my Google clicks grew from 1,322 to 6,412 a month, while AI assistants went from sending 32 visits a month to 3,599, with my own Search Console and GA4 as the record. It's my business, not a client's, and it isn't a promise.
Getting to two names
- Find the weak stage. Product, positioning, go-to-market, leadership or retention: pick one.
- Check the stack. Ask what they've built on, and whether it's what you run.
- Decide project or person. A build firm ships a project; an adviser or fractional leader stays in your rhythm.
- Ask for one SaaS example at your stage, with what changed after.
For marketing-only help, my list of AI marketing consultants goes wider. My verdict: I'd fix the weakest stage of the loop first and hire for that alone. I'd skip any firm that offers to fix every stage at once.
If your SaaS marketing team wants to use AI on its real work and get the product found in AI search, I can help. I run AI training and workshops for teams, and help businesses with AI enablement and workflow automation, so the busywork runs itself and people get time back. Most of that work is with SaaS marketing teams and small businesses. Here's how we can work together.
Frequently asked questions
Who is the best AI consultant for SaaS companies?
Look at where your growth loop is weakest. Spiral Scout or Nic Chin work on the product, Genesys Growth on positioning, Arise GTM or Oren Greenberg on go-to-market, and Delegated AI on retention. Lilach Bullock is on the page as well, and that's me: I wrote it, so judge my entry on the same terms as the rest.
Should a SaaS company hire an AI consultant for the product or for go-to-market?
Hire for whichever is holding growth back. If users churn because a feature fails, start with the product. If the product works but nobody hears about it, start with go-to-market.
What's the difference between an AI agency and a fractional CTO for SaaS?
An agency builds a defined project and hands it over. A fractional CTO owns technical decisions over time, part-time, inside your team.
How do I know an AI consultant understands B2B SaaS?
Ask for a SaaS example at your stage, which stack it ran on, and what changed. Vague answers about digital transformation are a warning sign.
What can an AI consultant do for SaaS customer success?
Automate the repeat work: onboarding steps, churn alerts and upsell triggers are the examples Delegated AI's page gives. A person still needs to own the customer.
