Discuss the channel

Managed outbound revenue channel for software and AI consultancies

The predictable lead generation system built for software and tech consultancies.

Most software agencies struggle with outbound because broad pitches like “we build software” don't work anymore. I take your best past projects, find companies with active reasons to hire an external team, and build a repeatable sales channel that starts conversations with real decision-makers.

$930 October pilot (regularly $1,430/mo)

Why $930? Tech sales cycles take 4–8 weeks. Launching in October builds qualified pipeline before the December freeze and sets up your Q1 revenue. Limited to 3 agency spots.

Compared to an illustrative full-cycle sales hire at ~$2,000/month, plus $200+/month for tools like Apollo, Clay, and Instantly, and months of management overhead.

8–12

SQL / month

3–5

Opportunities / month

$20–35k

Average project value

$60–175k

Potential pipeline / month

Targets once the channel is running—not guarantees. SQL means a qualified sales conversation accepted by both teams. An opportunity is a distinct, active project with buyer, need and next step; it is not counted again as an SQL. Potential pipeline is 3–5 opportunities × $20–35k, not booked revenue.

The stack is included. No need to pay for Apollo, Clay, or Instantly—the research, data stack, and execution are completely handled for you.

Example · humatechlabs.com

See how the agent builds a sales channel for an agency.

humatechlabs.com
Step 1 of 5 · Offer

✓ Decision ready

Before

“We build custom software, AI and cloud.”

Sharp offer

6-week fixed-scope rebuild of one legacy module. Your team stays on the roadmap.

Fear: outsiders break the core. Answer: their Git and CI, small scope, full code ownership.

Account finder

Who could you approach—and why?

Describe what your team delivers. See a few accounts worth researching.

Live web search. Results are starting points for research, not verified opportunities.

Example: a UK B2B SaaS scale-up

example only

Observed · Announces a new partner integrations marketplace on its official blog.

Possible fit: integration engineering capacity for the launch. (hypothesis)

Unknown whether they use external suppliers or have budget.

Roles and first question

Roles: VP Engineering, Head of Product, CTO

“How are you staffing the integrations roadmap after launch?”

Illustrative example · not a real company

How I build and run the channel

Live channel map

Human verification controls every outward action.

01 · Foundation

Won/lost historyDelivery casesMargins & strengths2–3 offers + ICPs

02 · Sources

New signalsCRM reactivationSocial commentsTenders + regulation

03 · Score + human review

FitExternal-delivery routeReason nowClaimsJTBDProof permissionNext action

Verified accounts split by timing

Route A · Strong reason now

Buyer mapConnection requestsInMailEmail after engagementPersonal follow-ups

Route B · Fit, timing unclear

Useful LinkedIn commentsCase contentMatched case ads · optionalEngagement checksTrigger monitoring

CRM reactivation runs through both routes. Optional matched-audience ads use Primer or an equivalent only when enabled; media spend is scoped separately.

04 · Outcomes + learning loop

RepliesSQLOpportunitiesWon / lostOffer learningSignal weightsChannel strategy

No fixed signal rule. A single weak signal is not purchase proof; combinations and weights are configured for each offer.

Sales closes. I develop the opportunity; your sales team joins and closes real opportunities.

Managed architecture

What makes this unique

12 specialist AI agents

Collect, research and prepare

Sales Brain analytics layer

Learns from deals, delivery and live signals; scores fit and intent

Ivan’s human review & execution

Verifies claims, chooses actions and develops opportunities

  1. Typical lead gen

    Separate tools, subscriptions and research work

    This channel

    No need to pay for Apollo, Clay, or Instantly—the research, data stack, and execution are completely handled for you.

  2. Typical lead gen

    Broad “we build software” pitch

    This channel

    Specific offers chosen from won/lost deals, delivery, margins and ICP fit.

  3. Typical lead gen

    Static lead list and job titles

    This channel

    Hiring and funding are often just noise. We look for compounding signals: tech stack migrations, delayed in-house projects, and proven outsourcing precedent.

  4. Typical lead gen

    Same message to everyone

    This channel

    We identify real decision-makers—Head of Engineering, Head of Product, CTO, or CEO where relevant—tailoring the angle to their specific role.

  5. Typical lead gen

    Cold-call quotas and generic cold-email blasts

    This channel

    Useful LinkedIn comments and case content warm the account. Verified reason-now leads to role-specific requests, InMail, email after engagement and thoughtful follow-ups.

  6. Typical lead gen

    Repetitive chasing

    This channel

    Optional matched-audience case ads on LinkedIn, Meta, Reddit or X where viable. Engagement and new signals decide the next step; activation and media spend are scoped separately.

  7. Typical lead gen

    Meetings counted as the end

    This channel

    Replies, SQL, opportunities and win/loss feedback improve offers, scores and channel decisions. Ivan develops the opportunity; your team closes.

Proof

Relevant proof earns attention

These are real programs Ivan has run. They are evidence of the method, not promises about your future results.

Closed peer-to-peer executive roundtable

Deutsche Telekom and Munich Re at one table, built from zero

3 months

preparation

~500

C-level execs reached

22

seats (invite only)

18

attended (82%)

For a 500-person software development company I designed and ran an invitation-only, closed-door session on moving AI from pilots into production in manufacturing. Three months of preparation: hypothesis, topic testing, partner mix, speaker recruitment, account list, personal invitations and follow-up. No sponsors, no booth, no mass invites.

  • Deutsche Telekom
  • Munich Re
  • Mercedes-Benz
  • Manufacturing / Fortune 500

The event was the vehicle, not the result. What produced pipeline was giving the right 500 executives a credible reason to enter a conversation — and then working the 18 who showed up properly.

Outcome

  • Follow-up meetings31
  • MQL26
  • SQL20
  • Opportunities7
  • Closed won2 · 29%

Figures are from real programs, rounded and anonymised where client terms require it.

Year-long webinar and content engine

Continuous demand for a computer vision company, including Sumitomo

12 months

continuous run

14

webinars delivered

1,900+

registrations

740

live attendees

Instead of generic thought leadership, the program was built industry by industry: recurring webinars on specific use cases, expert-led content, targeted account invitations, engagement-based follow-up and sales activation on every topic. Each session was treated as an outbound campaign with a reason to talk, not as marketing content.

  • Sumitomo
  • Enterprise manufacturing
  • Computer vision

Sumitomo did not come from a list. It came from an account that attended two sessions on a problem they already had, and was followed up by someone who knew exactly why.

Outcome

  • Engaged accounts210
  • MQL132
  • SQL48
  • Opportunities16
  • Closed won4 · 25%

Figures are from real programs, rounded and anonymised where client terms require it.

Commercial packaging of delivery capability

Turned engineering capacity into offers sales teams could actually sell

50

case studies reviewed

11

offer hypotheses built

3

survived market testing

6 weeks

hypothesis to pipeline

Software services companies usually have strong delivery and weak commercial packaging. I worked with delivery leads, case studies, industry knowledge and available capacity to build named offers with a defined buyer, a defined trigger and defined proof — then tested each one against the live market before scaling any outreach.

  • What exactly are we selling?
  • Who has a reason to buy?
  • What changed?
  • What proof do we have?

Eight of eleven hypotheses died in testing — cheaply, in weeks. That is the same logic Sales Brain runs every month.

Outcome

  • Accounts tested340
  • Replies61
  • Qualified conversations27
  • Opportunities9
  • Closed won3 · 33%

Figures are from real programs, rounded and anonymised where client terms require it.

None of these started with “let’s send more outreach.” They started with: what would make the right buyer pay attention? Then the commercial system was built around that answer. That is the work I do.

Managed service

October pilot: $930 for the first month (regularly $1,430/mo)

I own offer selection, signal research, decision-maker verification, outreach, and opportunity qualification. Your team joins real sales conversations and closes them. Optional matched-audience media spend is scoped separately.

  • Ivan's managed service

    $930 October pilot (reg. $1,430)

  • Illustrative full-cycle sales hire

    ~$2,000 salary + $200+ stack (Apollo, Clay, Instantly)

Ivan's managed outbound service compared with an illustrative full-cycle sales hire
 Ivan's serviceFull-cycle sales hire
Monthly operating cost$930 October pilot / $1,430 standard~$2,000 salary + $200+ stack (Apollo, Clay, Instantly) + your time managing
Offer and ICP selectionIvan owns itYou train and manage
Stack, research and verificationIncludedRep + tools
Activation and outreachIncludedRep + tools
Management and rampIncludedYour responsibility
Optional ad spendScoped separatelyScoped separately

The $2,000 salary is an illustrative hiring assumption, not a sourced market median. Actual compensation, tools and ramp vary. Sales Brain makes the managed service economical, but it is not software sold to your team.

Fit

Who this works best for

Software-development consultancies

You deliver custom software but struggle to turn broad engineering capability into a differentiated offer. I identify situations where that expertise becomes commercially relevant.

Custom software & engineering firms

You sell complex external delivery and rely heavily on referrals. I build a managed outbound revenue channel without asking you to assemble the operating stack yourself.

AI, ML & data consultancies

You need to find enterprises with active initiatives, implementation gaps and a credible reason to bring in an external specialist now.

Complex technology-delivery firms

You sell expertise and project delivery—not a software product. I test concrete commercial hypotheses against real accounts before expanding activation and outreach.

Who this is not for

  • SaaS companies, software-product businesses and startups selling their own product.
  • If you need somebody to buy a list and blast 20,000 emails, there are cheaper ways to do it.
  • If you want guaranteed revenue without participating in sales calls, this will not solve that either.

I own the managed outbound process and opportunity development. Sales Brain supports the research, monitoring and qualification behind the service. Once somebody enters a real sales process, your offer, price, sales ability and delivery credibility matter too.

Ivan Lapsha

About me

Ivan Lapsha

I build and run the work that has to happen before a relevant sales opportunity—figuring out:

  • What will sell.
  • Who is likely to buy it.
  • What makes them care now.
  • How we prove we understand their situation.
  • How to systematically find more companies like them.

I work at the intersection of B2B sales, complex technology services, market research and AI automation. I built Sales Brain as the research and qualification engine behind my managed service for software-development, engineering and AI consultancies. It helps me decide where the next credible opportunity should come from; I remain accountable for the commercial judgment, strategy and quality.

This is not a lead list, an email campaign or software handed to your team. It is a managed outbound revenue channel.

ivan.l@humatechlabs.com

Build a repeatable channel from the work your firm already does well.

October pilot: $930 for the first month, then $1,430/month for the managed service. Optional matched-audience media spend is agreed separately. Sales Brain is the engine behind the service, not software sold to your team.

Tell me what you have sold, the projects you deliver best and where margins are strongest. I’ll show you how that can become specific offers, target accounts and a working outbound channel.