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Partner program

Hire an Inflowave Expert

Certified specialists who design, build, and deploy Inflowave automations for agencies, coaches, and SaaS founders. Scale without figuring it out alone.

Why hire an expert?

Skip the learning curve

Go from signup to live automations in days, not months.

Proven playbooks

Experts bring their own SOPs, workflows, and AI agent templates.

Fully white-label

All work is done inside your Inflowave workspace - your agency, your clients, your brand.

Featured experts

Vetted specialists who have shipped Inflowave automations for real agencies.

M
Founder

Matt Kielbasa

Founder of Inflowave

Built Inflowave for agencies. 10+ years scaling Instagram automations for paid accelerators and SaaS founders.

Warsaw, Poland

More experts coming soon

Apply to be one of them

What an Inflowave Expert Actually Does for You

The "expert" label hides a lot of variation in real engagements. Some experts handle a single specific deliverable (set up your AI agent, train it on past conversations, hand it back). Others embed for months as a fractional automation lead. The right scope depends on where you are in the build journey and what your team can pick up after the engagement ends. Here is what experts typically deliver across the four engagement types we see most often.

Done-for-you setup (1-2 weeks). The expert configures your Inflowave workspace end-to-end: connects Instagram accounts, builds the AI agent personality, imports your historical conversation data for training, sets up the lead capture forms, configures the workflows for follow-ups, integrates your calendar and payment tools, sets up the analytics and reporting dashboards. Typical scope for businesses that want to skip the figure-it-out phase entirely.

Workflow architecture (2-4 weeks). For more complex businesses, the engagement scopes the entire customer journey before any tool is touched. Map the existing flow, identify the leakage points, design the new automated path, build it inside Inflowave, run it against test data, optimize based on real conversation samples. Usually involves training one or two members of the client team to run the system after launch.

Agency white-label retainer (ongoing). The expert manages client Inflowave workspaces on behalf of agencies that resell social media services. The agency keeps the client relationship and the margin; the expert handles the technical delivery. Most common engagement for agencies that want to add Instagram automation as a service line without hiring an in-house specialist.

AI agent training and tuning. Narrower scope, faster delivery (3-5 days). The expert imports your existing conversation data, builds a custom AI personality, runs through 50+ test scenarios, refines the prompts, and hands back a tuned agent that actually sounds like you instead of a generic chatbot. Most common follow-up engagement after a self-serve client realizes their AI sounds off.

When to Hire an Inflowave Expert (And When You Should Not)

Not every situation calls for hiring outside help. The platform is built to be self-serve and the documentation is solid enough for most teams to get to a working setup on their own. Here is the honest read on when bringing in an expert is worth the budget.

Hire an expert if:

  • You are managing five or more client accounts and need agency-style workflow architecture.
  • You have a specific revenue target tied to the implementation and missing the launch date costs you measurably.
  • Your team has tried twice already and the AI agent still does not sound right.
  • You need a multi-channel setup (Instagram + WhatsApp + SMS + email) and the integration logic is non-obvious.
  • You want to integrate Inflowave with a complex existing stack (custom CRM, internal tools, multi-region infrastructure).
  • You are launching a high-stakes campaign and need experienced eyes on the flow before it goes live.

Skip the expert and do it yourself if:

  • You are managing a single Instagram account and your inbound volume is under 100 DMs a week.
  • Your business is straightforward - a single offer, a single audience, a single conversion path.
  • You enjoy the learning process and have time to test, iterate, and refine over a few weeks.
  • Your team already includes someone technical enough to read the docs and translate them into your workflow.
  • The budget for an expert engagement would meaningfully strain the rest of your business.

What Inflowave Expert Services Typically Cost

Pricing varies by expert and scope, but the bands are reasonably consistent across the program. Use these as a starting reference; specific quotes will vary.

Done-for-you setup engagements: $1,500-$5,000 for a single business account, $4,000-$12,000 for a multi-account agency setup with 5-15 client workspaces. Includes initial configuration, AI agent build, workflow setup, and a knowledge transfer session. Usually delivered in 1-3 weeks.

Workflow architecture engagements: $5,000-$25,000 depending on complexity. Includes business mapping, journey design, full build, testing, and team training. Usually delivered over 2-6 weeks. Larger engagements include 30-60 days of post-launch support.

Agency white-label retainers: $2,000-$8,000 per month depending on the number of client accounts managed. Includes ongoing setup of new client accounts, monthly optimization, and tier-2 client support. Most agencies recover this cost from a single retained client.

AI agent training and tuning: $800-$2,500 per agent depending on conversation complexity and historical data volume. Lower end for single-niche businesses; higher end for businesses with multi-product or multi-language requirements.

Hourly consulting (ad-hoc): $150-$350 per hour for senior experts. Useful for one-off technical questions, audits of an existing setup, or strategic guidance without a full implementation engagement. Most experts have a 3-5 hour minimum.

How to Evaluate an Inflowave Expert Before You Hire Them

Every expert in the program has met the baseline vetting criteria - shipped at least three builds, has a public case study or testimonial, has a clear specialty. That gets you to a competent shortlist. To pick the right one for your specific engagement, here is the checklist we recommend running through on the first call.

  1. Ask for a case study in your specific niche. A great expert in coaching does not automatically translate to e-commerce. Specificity matters. If they have not done your category before, that is not disqualifying, but it should be priced in.
  2. Ask what they would do differently from your current setup. Experts who immediately propose a complete rebuild without understanding your situation are selling complexity. Experts who diagnose first and recommend the smallest viable change are usually better.
  3. Ask about handoff. What happens at the end of the engagement? A great expert builds for your team to maintain, not for ongoing dependency. The handoff documentation, training session, and post-engagement support should all be defined upfront.
  4. Ask for references from clients similar to you. The best signal is a brief call with a recent client at a similar business stage. Most experts can arrange this in 24-48 hours.
  5. Ask about communication cadence. Weekly updates? Async-only? Slack channel? Fixed calls? Aligning on communication expectations upfront avoids the most common source of engagement friction.
  6. Ask what they would NOT recommend. An expert who says yes to every feature you mention is selling, not advising. The good ones will push back on requests that do not fit your stage.

Becoming an Inflowave Expert: What the Application and Vetting Process Looks Like

If you are reading this with the goal of joining the expert program rather than hiring one, here is what the path looks like. The application is open but we do filter - the program is positioned as a vetted specialist network, not a directory.

Step 1: Application submission. You email experts@inflowave.io with three things: a brief intro to your background, links to at least three Inflowave builds you have shipped (live links if possible, otherwise detailed case studies with anonymized client info), and a stated specialty (AI agents, workflows, multi-channel setups, agency operations, etc.). Applications without all three usually do not get past the first review.

Step 2: Technical screening. A 45-minute call with our partner team. We walk through one of your shipped builds in detail - your design choices, how you handled edge cases, what you would do differently with hindsight. The goal is to confirm you can do the work, not to catch you out. Most qualified applicants pass this stage.

Step 3: Reference check. We contact two of your past clients to confirm the engagement happened as described and to ask about delivery quality. This step is the most common reason for application rejection - not because of failed deliveries, but because some applicants overstate their involvement in projects they were actually peripheral to.

Step 4: Listing setup. Approved experts get a profile on this page, an introduction to the next batch of inbound expert requests, access to our private expert Slack channel, and early access to product features before public release. Expert profiles get refreshed quarterly based on recent work and client outcomes.

Step 5: Performance review. Every six months we review experts on three metrics: client satisfaction (NPS from completed engagements), volume of completed projects, and recurring engagement rate (clients hiring the same expert for a second project). Experts performing in the top tier get promoted in our directory listings and get first-look at high-value inbound opportunities.

What Inflowave Experts Actually Earn

Earnings vary widely based on engagement count, scope, and specialty, but here are the approximate annual bands we see across the program in 2026.

New experts (first 12 months in program): $30K-$80K in expert-related income. Most new experts are running this alongside other work. The first year is largely about reputation building, getting case studies, and developing repeat clients.

Established experts (1-3 years in program): $80K-$220K. By this point most experts have shifted to expert work as their primary income. Earnings depend heavily on whether they have positioned for agency white-label retainers (highest recurring revenue) or one-off implementation work (highest per-engagement fees but more sales work).

Top-tier experts: $220K+. Usually running a small productized agency around their Inflowave specialty - a few high-margin agency retainers, a small team handling delivery, and personal involvement focused on architecture and senior consulting. This tier is competitive and the earnings reflect both technical skill and business operating skill.

The program also includes referral revenue share - experts get a recurring percentage of new Inflowave subscription revenue from clients they bring onto the platform. For experts who consistently bring new clients into their engagements (rather than working on existing-customer workspaces), the referral component can add another 15-30% on top of direct service revenue.

Become an Inflowave Expert

We partner with top automation specialists who want to turn their Inflowave skills into recurring client work. Benefits: referrals, co-marketing, revenue share, and early access to new features.

At least 3 shipped Inflowave builds
Public case study or client testimonial
Clear specialty (AI agents, workflows, ads, etc.)
Professional LinkedIn or portfolio URL