AMO Consultancy Services

AMO Consultancy Services AMO Consultancy is your digital partner bridging strategy, technology and human experience.

Our digital automation services can be utilised by any business, across any industry and any department. We create bespoke solutions that enhance productivity, reduce costs, minimise risk and improve resource management.

In the space of a week, the AI coding market has accelerated again.After listing, SpaceX moved to acquire Cursor in a $6...
18/06/2026

In the space of a week, the AI coding market has accelerated again.

After listing, SpaceX moved to acquire Cursor in a $60 billion all stock deal. Google has Jules. GitHub Copilot remains backed by Microsoft. Amazon is pushing Q. Anthropic is showing just how deeply AI coding is already shaping software development.

Every major AI platform now wants a place in the developer workflow. And the competition for adoption is intensifying fast. That matters because AI coding tools have moved from productivity add-ons to part of the engineering stack.

The businesses that choose these platforms deliberately, with governance, data residency, vendor lock-in risk and long term supplier stability in mind, will be in a far stronger position than those that let tool choice happen by default.

Most organisations made their first AI coding decisions based on availability and familiarity. Very few have paused to ask whether those choices still make sense at production scale, under current pricing, and with today's dependency risks.

For teams building real products, beyond developer preferences, AI tooling is now becoming an architectural decision.

21/05/2026

You do not always notice when a workaround becomes the process. The spreadsheet created to get one approval moving becomes the approval workflow.
The email chain used to keep everyone updated becomes the project tracker.
The shared folder set up for convenience becomes the document management system.

Over time, these gaps become normal. Teams adapt. People build habits around them. The business keeps moving, but often with more manual work, less visibility, and more risk.

We call this the normalised gap.
It is the space between how your business actually works and the systems your people are forced to use.

At AMO, we build custom business applications for your core and back end processes. We connect them to your existing systems and design interfaces that make complex work easier for the people using them every day.

We are offering a free proof of concept to help you explore how a custom business application could replace the workarounds your team has outgrown.

Get in touch to know more.

Anthropic has built one of its most powerful AI systems yet and chosen not to release it broadly.Its unreleased model, C...
24/04/2026

Anthropic has built one of its most powerful AI systems yet and chosen not to release it broadly.

Its unreleased model, Claude Mythos Preview, reportedly identified thousands of high severity software vulnerabilities across major operating systems and browsers. Instead of public release, Anthropic is limiting access to selected organisations focused on defensive cybersecurity.

To support that effort, it has launched Project Glasswing with partners including Amazon Web Services, Apple, Broadcom, Cisco, CrowdStrike, Google, JPMorgan Chase, the Linux Foundation, Microsoft, Nvidia and Palo Alto Networks.

What makes the story stand out is that beyond capability, it is also about restraint, accountability and the growing importance of AI governance.

For business leaders, this brings a practical question into focus. As AI becomes more embedded in systems and workflows, what framework do you have in place to define what it should and should not be allowed to do?

At AMO Consultancy, we believe AI governance should be built in from the start across advisory, application development and digital adoption.

A Gartner survey published recently found that only 28% of AI use cases in infrastructure and operations fully succeed a...
22/04/2026

A Gartner survey published recently found that only 28% of AI use cases in infrastructure and operations fully succeed and meet ROI expectations. One in five fail outright.

At the same time, Gartner forecasts worldwide AI spending will reach $2.52 trillion in 2026, up 44% year on year.

That contrast says a lot.

The challenge is how much businesses are investing in AI and whether those investments are being translated into real operational value.

According to Gartner, the organisations seeing better results are not necessarily the ones using the most advanced models. They are the ones integrating AI into existing workflows and systems, securing real executive support, and starting with realistic business cases and upfront preparation.

The gap between AI spend and AI results is beyond a technology issue. It is a strategy, governance and ex*****on issue.

At AMO Consultancy, this is how we work with clients through digital advisory, custom application development and digital adoption. Strategy first. Then technology that fits the business.

How is your organisation measuring the return on its AI investments?



Source: Gartner, 7 April 2026 · https://www.gartner.com/en/newsroom/press-releases/2026-04-07-gartner-says-artificial-intelligence-projects-in-infrastructure-and-operations-stall-ahead-of-meaningful-roi-returns

Join the upcoming Nintex webinar on the latest K2 release 5.9.1 and discover how businesses can simplify complex process...
21/04/2026

Join the upcoming Nintex webinar on the latest K2 release 5.9.1 and discover how businesses can simplify complex processes while staying firmly in control.

Led by Nintex Product Management Director Codi Kaji, the session will cover

☑️Built in AI capabilities through a native, locally hosted engine,
☑️Simpler ways to connect and manage identities across systems
☑️Continued progress on accessibility compliance.

Date: 29th April | 9:00 AM BST

Save your seat here 👉🏻https://www.nintex.com/resources/nintex-automation-k2-release-5-9-1/?utm_campaign=k2_59_release&utm_medium=social-media&utm_source=linkedin&utm_content=webinar

Elon Musk recently announced Terafab. It may be one of the most consequential infrastructure bets of this decade.On 21 M...
14/04/2026

Elon Musk recently announced Terafab. It may be one of the most consequential infrastructure bets of this decade.

On 21 March 2026, he unveiled a joint venture between Tesla, SpaceX and xAI to build a semiconductor mega factory in Austin, Texas. The target is 1 terawatt of AI compute capacity per year. Intel joined the project as a manufacturing partner on 7 April 2026.

Terafab is designed as a fully vertically integrated facility, bringing chip design, fabrication, memory production, packaging and testing together in one place. If delivered, it would mark a major shift in how advanced chips are produced and scaled. The starting cost is estimated at $20 to $25 billion.

Musk says current suppliers are not expanding fast enough and estimates existing global capacity covers just 2% of what his companies need. Sceptics, however, point to a higher likely cost and Musk’s record of delayed timelines.

Still, the bigger point is hard to ignore. AI compute is becoming the defining infrastructure constraint of this decade, much like broadband in the 2000s and cloud in the 2010s.

That matters far beyond the semiconductor industry. The cost and availability of compute will shape how quickly businesses can adopt AI and where they can create real advantage.

The chip race is really a story about the infrastructure behind the next wave of business change.

What does that mean for your organisation?

Yann LeCun just raised $1 billion to build AI that actually understands the world.In March, LeCun, Turing Award winner a...
14/04/2026

Yann LeCun just raised $1 billion to build AI that actually understands the world.

In March, LeCun, Turing Award winner and former chief AI scientist at Meta, announced that his new Paris-based startup AMI (Advanced Machine Intelligence) had closed a $1 billion first funding round. Investors include Toyota, Nvidia, Samsung, Jeff Bezos and Eric Schmidt. The pre-money valuation was already $3.5 billion.

AMI is building what he calls "world models", AI systems that process images, movement, physical interactions and environmental data, understanding the world the way humans and animals do rather than the way a text prediction engine does.

Within three to five years, AMI aims to produce what LeCun describes as "fairly universal intelligent systems" applicable to autonomous driving, robotics, medical diagnostics and industrial processes.

This is a long-term bet. But a $1 billion raise backed by the world's biggest tech investors is not a research project. It indicates that the current generation of AI may have a fundamental ceiling and that serious money is being placed on what comes next.

For business leaders currently building AI strategies around today's LLM-based tools, this is worth watching closely.

What would a shift beyond language-based AI mean for your business?

26/03/2026

Eid Mubarak from all of us at AMO Consultancy! Our warmest wishes to everyone celebrating Eid all over the world🌙✨

If you feel like the conversation around AI has shifted from "what’s possible" to "why isn't this working yet," you are ...
17/03/2026

If you feel like the conversation around AI has shifted from "what’s possible" to "why isn't this working yet," you are right. According to the Gartner Hype Cycle, we have reached the critical pivot point.

While Generative AI is sliding into the "Trough of Disillusionment," Agentic AI is sitting at the very peak.

But here is the reality check. As Tom Davenport (MIT/Babson) recently noted, the transition from AI that talks, to AI that acts is hitting a reliability wall. We are seeing a 2026 "cooling period" where the focus is shifting from pure autonomy to disciplined orchestration.

Several issues are becoming clear:
☑️ Legacy mismatch: You cannot put a 2026 agent on a 1998 manual process.
☑️ Security gaps: Prompt injection and "hallucinated transactions" are keeping agents in pilot mode.
☑️ Lack of infrastructure: Without structured orchestration, governance, and repeatable automation, agents remain isolated experiments rather than enterprise tools.

The bottom line is that the winners of this phase of AI adoption are the ones with the best infrastructure. Success now requires moving from "Human-in-the-Loop" to "Human-on-the-Loop", auditing the system’s reasoning rather than just its output.

Where is your organisation today are you experimenting with AI, or building the foundations to operationalise it?

Steven Bartlett recently posted about global AI usage. In the image below each dot represents 3.2 million people.Out of ...
12/03/2026

Steven Bartlett recently posted about global AI usage. In the image below each dot represents 3.2 million people.

Out of 8.1 billion humans:
- 6.8 billion have never used AI.
- 1.3 billion use free chatbots.
- 15–25 million pay for AI tools.
- Only 2–5 million use AI for coding and development.

This visual offers an important reality check. While our feeds are filled with AI news. Most of the world has barely interacted with AI. The same applies to businesses.

Many organisations are experimenting. Very few are operationalising AI at scale. Adopting AI in a company is about clear use cases, integrated systems, governance, security, change management, and process redesign.

At AMO, we leverage AI to accelerate delivery of custom business apps. We also focus on the architecture behind the scenes, incorporating AI capabilities in our customers' workflows where it adds value.

The "early adopter" window is still open, but the transition from chatting with AI to building with AI is where the competitive edge lies.

What are your thoughts and where are you at in this journey?

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