June '25 edition

🏅Wiseboard achievements (+2)

+12 new advising projects: Marketing, Business Strategy, and Delivery tracks.

+9 new advisors joined. Our pool now totals 285 expert advisors.

🧩 New expertise unlocked (+5)

Sharing the latest expertise to our service catalog that your company can hire:
1. AI Solution architecture design & pre-sale support
Design scalable AI solutions and strengthen your pre-sale process with a solution architect's input to craft winning technical proposals with a higher conversion rate.
2. Company valuation growth before M&A
Raise your valuation by fixing what investors search for: financial visibility, delivery efficiency, pipeline predictability, and leadership capacity. Address weak points and implement practical improvements that increase your multiplier and make your company more attractive to buyers or partners.
3. Organic Growth Strategy
Build a full-scale, AI-compatible inbound growth function - from strategy to team setup and content operations that drive relevant MQLs. Lower CAC and increase visibility. Tailor your positioning, ICP, content production, and long-term growth goals.
4. Communication Strategy for Social Selling on LinkedIn
Build a consistent, aligned narrative across multiple thought leader profiles. Define what to say, who should say it, and how to say it. Craft messaging and topics that reflect your value proposition, resonate with your ICP, and drive lead generation.
5. ISO 27001 / 9001
Get full-cycle support to achieve ISO 27001 or 9001 certification in 3–5 months. Prepare your organization and align key processes to meet audit requirements and pass certification smoothly.
Let me know if any of these align with your current business needs and goals.

👤 Available talent for hire

Wiseboard has active recruiting pipelines for our clients for the following roles:
1. Account Manager / Client Partner / BDM2. Delivery Manager / Head of Delivery / PMO3. Pre-sale / Engagement Manager4. SDR / Leadgen Specialist5. Operations Manager
Contact me if you’re hiring—I’ll help you find the right fit.

📈 Market observations (+3)

AI practice: experimenting with client offerings vs. enhancing internal systems
Most IT service companies today are striving to differentiate themselves in a crowded market. One popular approach is launching AI-powered offerings, from AI agents to RAG-based solutions, to attract client interest and generate demand.
But while everyone is racing to build for clients, the internal transformation often lags behind.

Positioning yourself as an AI-native company still gives you a competitive edge - faster time to market, smarter delivery, and stronger messaging. But here’s the gap: only 10–20% of companies actually use AI across delivery, project management, or content operations in a systematic way.
Also, this gap is risky. Clients buying AI expect vendors to walk the talk. When asked, “And how are you using AI internally?”, the answer should be strong. Not vague.
A year from now, internal AI maturity won’t be a differentiator — it’ll be the baseline. Falling behind will raise red flags in sales calls and hurt conversion.
Want to map your internal AI adoption plan or accelerate your AI maturity? Let’s talk.

R&D centers in LATAM: clients demand diversification
As geopolitical risks grow, more enterprise clients are asking vendors to diversify their delivery locations.

Companies are increasingly hearing the same request from Risk & Compliance and Vendor Management departments:

"Can you open a delivery team in Latin America or another low-risk region?"

But entering the region isn’t a copy-paste move. Vendors with deep experience in Ukraine or Poland often underestimate local hiring dynamics, labor laws, cost structures, and legal frameworks.

Before rushing in, ask the right question: Does it make sense to open a full R&D center to satisfy one client’s request? And if yes, what’s the most efficient and scalable way to do it for your context?

M&A as a survival strategy
When new AI offerings fail to convert and LATAM expansion proves too risky, some IT service companies start considering a more fundamental question:

"Should we sell part of the business or merge to stay afloat?"

One strategy companies turn to is partial sale, full acquisition, or a share swap with a larger group to gain access to their brand, infrastructure, and enterprise clients, and accelerate growth from within.

However, the IT market is no longer what it used to be. Multiples are falling (x2–3 annual EBITDA on average), and buyers are becoming more selective. Waiting for better times might seem safe, but for many, it means missing the window.
To avoid selling at a discount, companies choose to raise their valuation first. That’s why M&A readiness accelerators are gaining traction - helping businesses fix what investors care about most. We’re launching one this fall, in cooperation with Lviv IT Cluster.
If any of these challenges are now on your table, drop me a line. I’ll help you navigate the options and find the right next step.

📺 Wiseboard Online Talks (+2)

What we talked about:
How to escape the commodity trap and build a differentiated offer5 positioning strategies and the trade-offs of each pathExamples of companies well-positioned for AIand more
Watch the recording >>
Next up

What we will talk about

1. How to research, adopt, and package AI solutions that actually deliver value
2. 4 practical strategies for adopting AI across your company operations
3. Creating proof-of-concept demos for clients while boosting internal efficiency
and more

Register here >>

📖 Worth learning

Seizing the agentic AI advantage - McKinsey’s report, June 13th

Practical takeaways:

1. Build internal capabilities to deploy AI agents that go beyond basic automation - with RAG, workflow orchestration, and memory for multi-step reasoning.
2. Position your team as integrators of agentic AI into enterprise stacks - especially in ops, marketing, knowledge management, and client service.
3. Productize AI agent solutions as accelerators or white-label components clients can plug into their systems (e.g., AI agents for QA testing, proposal drafting, documentation generation).
4. Highlight outcomes: cost savings, time gains, or headcount optimization when pitching AI-powered offerings.

How an AI-enabled software product development life cycle will fuel innovation - McKinsey Paper

Practical takeaways:

1. Offer ‘AI-accelerated delivery squads’ trained in GenAI tooling, prompt engineering, automated QA, and AI-assisted DevOps. Clients want fast delivery - these squads give you the edge.
2. Bundle advisory with execution - help clients rethink not just what to build, but how to build it. Be the team that teaches them how to leverage AI across the full SDLC.

That's all for this month.

If your business is facing challenges or planning to grow this year, let’s jump on a call; I’ll help you out.

Best wishes,

Artur, Founder & CEO at Wiseboard

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