Dive deeper into our world! 🚀
Find here the key hashtags for staying connected with our software product development and consulting journey.
Explore our services and hear what others say through testimonials⬇️
#instinctools_services#instinctools_cases#instinctools_recognition
The audio version is now available. You can now listen to the full conversation between our CEO, Alexey Spas, and @JohnMunsell, CEO of @bizzuka and author of Ingrain AI, on SoundCloud.
They discuss why the adoption of AI stalls within companies that already have the necessary tools.
Listen: https://t.co/GsGZmKAErI
A team knows its own processes: where requests get stuck, which information goes missing, and which decisions need human judgment. That knowledge is a good place to start when introducing AI agents.
We created The Agentic Workflow Playbook to help teams run the first round of discovery in-house. It walks them through one real process, from identifying where time is lost to deciding which tasks should go to rules, AI agents, or people.
The result is an Agentic Workflow Blueprint, ready for technical discovery.
More about the playbook: https://t.co/EzkslALxAt
In ongoing support work, the distance between offices shows up as waiting time: a request sent at the end of one team's day can wait until the next morning somewhere else.
Agne Angelides, Technical Project Manager (@radcliffeCARDIO) has worked with our team for the past year and a half from a different country and time zone, and her new testimonial describes how it went in practice:
“Requests are acknowledged quickly, handled professionally, and implemented promptly. The team is responsive, approachable, and always willing to help, making them a trusted and valued partner for our ongoing needs.”
Thank you, Agne, for the kind words and for a year and a half of working together.
Read more testimonials on our website: https://t.co/XODsBGlb9n
When a company gives employees AI training but builds no process around it, 80% of them either don't take it or don't complete it. That's what @JohnMunsell John Munsell, CEO of @bizzuka and author of Ingrain AI, has seen over four years of this work. With a process and a recognition and reward system, where people build their own tools, share them with colleagues and see their impact on the organization, completion rises to 90–95%.
John discussed this with our CEO Alexey Spas. In the full episode they also talk about shadow AI in mid-market companies, why a level-nine initiative fails at level-two knowledge density, and what has to be in place before agents get more autonomy.
Watch: https://t.co/vI4lu1T0WI
The long-awaited premiere is happening tomorrow! Join the conversation between Alexey Spas, CEO and Founder of instinctools, and @JohnMunsell, CEO of @bizzuka and author of Ingrained AI, as they explore why AI adoption stalls even in companies that already have the technology.
While we’re counting down to the premiere, here’s a little behind-the-scenes look at the filming. You won’t want to miss it!
Save the premiere link and add it to your calendar!
👉 https://t.co/vI4lu1T0WI
The term AI pod can bring different ideas to mind: who makes up the team, what role AI plays, and what kind of work the pod takes on.
In our previous video, we explained what an Instinctools AI pod is. This time, we look at the other side and share four things it is not.
Our CEO Alexey Spas sat down with @JohnMunsell, CEO of @bizzuka and author of “Ingrained AI”, to discuss why AI adoption stalls even when employees are already using it.
They cover shadow AI, organizational readiness, and what companies can do to prepare their teams for AI agents.
The full episode premieres Saturday. Stay tuned!
AI is changing how much software a small senior team can deliver. As delivery capacity becomes less dependent on headcount, companies have reason to revisit the assumptions behind a familiar choice: whether to build engineering capability in-house or bring it in from outside.
In his new @ForbesTechCncl column, our CEO Alexey Spas explores how AI pods are reshaping that decision and what companies should consider when choosing a delivery model.
Read the full column: https://t.co/BDp2nsuaey
#instinctools_recognition #aipod
Instinctools has made the top 10 in seven categories in Feedbax’s 2026 provider rankings, from artificial intelligence and software development to ecommerce.
Feedbax calculates a separate score for each category, taking into account verified client feedback, relevant references, and the share of a company’s portfolio dedicated to that field. Every review is checked for evidence of a real business relationship.
Thank you to our clients who took the time to share their experience! You can read more about the rankings here: https://t.co/6B9TBA0gy7
Upstream oil and gas companies spent up to $25 billion on digital and AI solutions in 2025. The value AI could generate in the segment is estimated at $65 billion a year, and a large share of that gap sits between a working pilot and industrial-scale deployment.
A new article on our blog looks at where AI in the industry already pays for itself: production grew by 12.2% across 12 wells in the Permian Basin, and Equinor has earned $120 million on predictive maintenance alone. Our engineers map the highest-value use cases along the entire value chain, from drilling to the price on a gas station's sign, and describe the five-layer architecture a production-ready AI system requires, from data integration and context engineering to governance and monitoring.
The full article is at the link: https://t.co/Gtv9WU3R3v
For years, these people knew each other as faces in video-call windows. Then the Polish team boarded a plane to India to finally meet in person: colleagues from our India office and long-time clients, with working sessions and knowledge sharing in between.
Beyond the meeting rooms, India showed itself in full color: the lovable chaos of Bangalore's traffic, the hush of Swaminarayan Akshardham in Delhi, the buzz of Noida. What stayed with the team most was the warmth and hospitality everywhere, something no video call had ever managed to transmit.
Big thanks to everyone who made this trip what it was!
Hiring five to ten developers used to be the default answer to a new product or automation initiative. The newer question is different: do you have people qualified to manage a team of AI agents and answer for the result?
This is how AI pods work: small cross-functional teams of senior experts powered by highly specialized AI agents. In a new short video, we show how such a pod is assembled around a specific business challenge, flexibly adjusts its lineup mid-project, and how our GENiE operating layer keeps agents coherent in context-heavy workflows. The format fits teams experimenting with AI or looking to launch a new AI initiative faster.
#instinctools_services #aipods #genie
The greatest risk of an AI initiative arrives late: after the meetings, the energy, and the investment are spent… and no one uses the result.
That is one of ten tough questions about AI adoption that Chad West answers in a new article. His point throughout: adoption fails when it is treated as a tool rollout instead of an operating change, and even ready access to LLMs is useless with the wrong use case. The AI Adoption Workshop he describes starts from that reality, surfacing technical debt and internal resistance early, when they can still shape which use cases get prioritized.
The full article is at the link: https://t.co/VgVSgJcU6W
One to three senior engineers plus as many governed AI agents as the work requires - this is what an AI pod delivery model looks like in practice. The engineers own the business context and responsibility for outcomes, while the agents handle the execution-heavy part of each cycle.
This distribution pays off. A solid pilot lands in four weeks instead of the roughly four months a traditional team needs, engineering moves about twice as fast, and development costs run roughly 50% lower.
Find details on the page:
https://t.co/0WAOqApyIY
The license price is the loudest number in a build-versus-buy discussion and the least informative one. The real picture is the five-year total cost of ownership; the pricing page shows only its first installment.
A low monthly fee is easy to compare. The cost of living with a product for five years is harder, and that’s where the build-versus-buy calculation can turn. We ran the choice through a five-year cost model and checked it against a retailer’s real project. The result raises a more useful question than “build or buy?”: what exactly to buy, what to build, and what to extend.
The full article is at the link: https://t.co/JTrd0uaUPK
Goodfirms has updated its Leaders Matrix for custom software development, and our India team is now in the Industry Leaders quadrant!
What makes it especially nice is how the ranking works: it's built on verified client reviews, so this placement comes from our clients. We truly value this trust, and it means a great deal to us.
A bit more information about it: https://t.co/3Jm32qDMKC
A polished homepage is not evidence of reliability. When choosing a software development partner, the useful work is separating what is verifiable from what is simply asserted.
In a new article on our Substack, we ran Instinctools itself through that lens: ratings from 4.6 to 5.0 across major B2B directories with an honest look at sample sizes, five ISO certifications, with the two key ones cross-checkable in the IAF CertSearch database, Glassdoor reviews as a team-stability signal, and five engagement models, from staff augmentation to vendor-owned KPIs under an SLA. We also kept the less comfortable parts in the picture: a company-reported satisfaction score and a critical client review.
The full review is at the link: https://t.co/Z2MFQSg4li