The Amazon Quick User Group – United Kingdom is a group of Amazon Fast customers in the UK who meet quarterly to trade data, share finest practices, study via hands-on periods, and focus on their experiences utilizing the service. These person teams perform as collaborative boards the place members study, join, and innovate collectively.
Whether or not you’re already utilizing Amazon Fast or simply getting began, we’d love so that you can be part of the UK Amazon Fast Person Group and grow to be a part of a rising group that’s redefining how organizations make choices with knowledge. On this put up, we’re thrilled to share our 2026 yearly roundup, highlighting all three quarterly meetups which have taken place because the group’s launch and the momentum that has adopted. The occasions drew greater than 150 attendees, and the vitality within the room, fueled by agentic AI and the potential of Amazon Fast, was clear. Throughout industries, prospects are utilizing Amazon Fast to show knowledge chaos into quicker choices, greater satisfaction, and scalable development. Their work spans real-time incident administration, eliminating dashboard sprawl with ruled knowledge layers, and automating most help workflows with AI.
Why Amazon Fast person teams matter
The UK Amazon Quick User Group is a area people of Amazon Fast customers who come collectively quarterly to share data, finest practices, and experiences with the service. Amazon Fast person teams function collaborative boards the place members can:
- Be taught and share – Alternate real-world insights in regards to the capabilities of Amazon Fast, from interactive dashboards and knowledge storytelling to agentic AI-powered automations and customized brokers. Members share what works, what doesn’t, and new approaches that drive outcomes.
- Community – Join with regional professionals who’re fixing related use circumstances with Amazon Fast for enterprise AI functions, knowledge analytics, and office productiveness.
- Drawback-solve – Deal with challenges collaboratively by discussing options and use circumstances throughout totally different industries and enterprise contexts.
- Keep up to date – Get firsthand data about new options, updates, and rising finest practices straight from friends and consultants.
- Construct group – Foster an area help community that enhances the broader Amazon Fast group, with trusted contacts who perceive UK market and enterprise context.
Occasion overview
Over three quarterly meetups this 12 months, the UK group spent actual time with Amazon Fast. Not slide decks about it, precise time constructing with it. Folks created Amazon Fast customized chat brokers for his or her groups with out writing code. They tried Amazon Fast Desktop operating on their very own laptops, related to native recordsdata and utilizing a connector to entry Outlook. Additionally they used Amazon Fast Apps to show a plain-language description right into a working internet utility. The workshops had attendees automating processes with Amazon Fast Flows and Amazon Fast Automate, whereas Amazon Fast Analysis confirmed the way it considerably cuts down the time spent on analysis. The Amazon Fast chat agent tied it collectively, an assistant that connects to instruments, knowledge and takes actions in your behalf. Each quarter, the periods bought extra sensible and the questions from the room bought sharper.
What a typical occasion appears like
All three occasions had been held on the Amazon UK Company Workplace in Shoreditch, London. By 9:45 AM, the room is already buzzing. Folks reconnect over espresso, swap updates from the final quarter, and newcomers get pulled into conversations earlier than the day even formally begins.
From there, the vitality carries via the complete agenda: prospects share actual tales about what they’ve constructed with Amazon Fast, product leads stroll via the newest updates, and panels spark the sort of back-and-forth you don’t get from a webinar. The 75-minute hands-on workshop is the place it actually comes alive, with attendees rolling up their sleeves in provisioned sandbox accounts and experimenting collectively. By the point we shut with a suggestions session, the room feels extra like a working group than an viewers.
The format has shifted every quarter. Q1 leaned extra on introductions and demos as a result of the group was assembly for the primary time. By Q2, we added an icebreaker quiz, and ran a targeted workshop on Fast Flows and automation. For Q3 we introduced in a specialist panel, a bunch quiz, and a networking slot on the finish. That final one took place as a result of individuals had been already staying behind to speak after the shut, so we stopped packing up round them and put it within the schedule.
What prospects shared
Buyer tales have been a part of the group from the beginning. Every speaker introduced a unique drawback into the room, exhibiting how groups are making use of Fast in very totally different environments.
On the first occasion, the dialog centered on getting perception into the arms of the individuals who want it. At Arriva UK Trains, vital knowledge wasn’t reaching the individuals who wanted it most. Prepare and station managers had been always on the transfer, relying solely on their work mobiles. Sofia Bourika’s crew constructed dynamic, role-based dashboards with mobile-friendly views and launched pixel good stories robotically delivered via scheduled e mail, giving managers speedy visibility of incidents and efficiency. The consequence: quicker choices, higher incident administration, and a stronger data-driven tradition throughout the group.
By Q2, the dialogue had moved towards a unique problem: getting the foundations proper earlier than introducing extra AI and automation. At Carsa, a used-car retailer, analytics functioned like a service desk. Query in, dashboard out. The identical query gave totally different solutions. It wasn’t a knowledge drawback. It was a definitions drawback. Tobi Daramola’s crew at Carsa fastened this by constructing a single ruled knowledge layer, with metrics outlined as soon as and consumed by Amazon Fast and AI assistants alike. In consequence, they eliminated 50 p.c of dashboards whereas surfacing extra knowledge. Buyer satisfaction (CSAT) scores moved 10 p.c in 30 days, complaints same-day shut price jumped 20 p.c, and AI on the layer reduce recurring duties from 45 minutes to five.
Q3 introduced the dialog additional into automation and agentic workflows. Propulse Lab, a Swiss working system for B2C subscription companies, was dealing with 1 million help tickets a 12 months. Their groups had been caught firefighting as a substitute of driving development. After deploying a multi-agent AI pipeline in Amazon Fast Automate, constructed from their finest previous customer support interactions, they reduce request dealing with from 7 minutes to 70 seconds. The pipeline additionally automated 80 p.c of routine workflows.
“What was as soon as a price centre grew to become a development engine – their product managers now personal all the system with out writing a single line of code, and their help groups deal with proactive, revenue-driving conversations as a substitute.”
— Guirec Lecointre, Development Operations Specialist, Propulse Lab
The use circumstances differ broadly, and that’s precisely the purpose. Moderately than presenting a single imaginative and prescient for Amazon Fast, practitioners present what they’ve tried in opposition to actual enterprise issues, from ruled analytics and frontline reporting to automation and AI. That shifts the dialog within the room. Attendees ask direct questions on implementation, adoption, and what didn’t work. Audio system share the sensible classes behind the completed answer. Folks depart with concepts they’ll apply to their very own organizations, not simply one other buyer story.
From shows to participation
Attendees modified throughout the three occasions. A listen-and-learn was constructing significant relationships by Q3. Folks had been new to the group and new to one another. By Q2, the icebreaker quiz loosened issues up early. The suggestions periods bought extra particular too: as a substitute of “this was nice,” individuals had been requesting subjects and providing to contribute.
Q3 pushes this additional. Sofia Bourika, who joined the management crew early on and offered the Arriva buyer story on the first occasion, got here up with an icebreaker known as “What Are You Proud Of?”, attendees share one thing they’ve constructed with Amazon Fast. We’ve already bought somebody who was beforehand sitting within the viewers volunteering to current their work. That sort of shift, from attending to contributing, took three occasions to occur, but it surely occurred. Q3 additionally launched a brand new section, the Amazon Fast specialist panel. Questions had been pre-collected from the viewers and posed to an invited specialist, who introduced actual depth to the solutions and shared first-hand expertise of working with attendees’ prospects. It sparked a unique sort of pondering within the room, with the viewers connecting the dots between the specialist’s insights and their very own day-to-day challenges.
Our group stayed related all 12 months. Our LinkedIn group had weekly contributions and our e mail lists inspired involvement.
Collective affect in motion
An enormous thanks to our devoted AWS Companion, Data Reply, whose constant contributions and thought management have been instrumental in making each UK person group meetup successful.
Our UK management crew led us to succeed in each milestone:
Liam Yusuph, AI and Knowledge Supply Lead, Knowledge Reply
Priyanka Bettaswamygowda, Options Architect, AWS
Sahar Shahbaz, Knowledge Analyst, Knowledge Reply
Sofia Bourika, Lead BI Developer, Arriva
Tobi Daramola, Senior Knowledge and Analytics Lead, Carsa
Ali Hayat, AV Help Affiliate, Amazon
Lam Phan, BI Developer, AWS
Rikhi Singh, ADC Engineer, AWS
Determine 2: The UK Amazon Fast Person Group management crew
The Amazon Quick Community website has tens of 1000’s of members and 1000’s of searchable questions. It additionally presents over 600 studying assets on accelerating your productiveness with agentic AI and Amazon Fast.
“The Fast Group is about studying collectively and constructing connections. It’s the place customers at any ability stage can discover assist, study one thing new, and meet others. What I really like most in regards to the Fast Group is how genuinely useful everyone seems to be. It’s a spot that reveals potentialities you wouldn’t have thought to discover by yourself, the place you stumble into individuals engaged on initiatives and use circumstances, you’d by no means even suppose to ask about, and all of a sudden your world will get an entire lot greater.”
— Kristin Mandia, Sr. Group Supervisor, AWS
Studying alternatives embrace roughly two free live online sessions per week, month-to-month function replace detailed and superior automation periods, and 4-hour Immersion Day workshops. AWS Options Architects, Product Managers, and subject material consultants are lively on the platform and obtainable for direct messaging. Kristin continues, “Folks bounce in to assist resolve difficult issues, share their intelligent workarounds, and experiment with new methods to make use of Fast collectively.”
Key takeaways
A number of themes got here up constantly throughout the three occasions.
The format retains altering as a result of we hear
The Amazon Fast Person Group UK runs on a set construction: an introduction, a product replace, buyer tales, a hands-on workshop, and a suggestions session. However we’ve been adjusting it each quarter. Early on, we had the “What’s New with Fast” section proper after buyer tales, and it broke the circulate. Folks had been engaged with how an actual firm was utilizing the product, then we’d change to function bulletins. We moved “What’s New” so the shopper tales lead straight into the workshop, and the distinction was noticeable. For Q3, we added an interactive quiz to get extra back-and-forth going within the room. Attendees additionally known as out the general format and pacing, and the prospect to satisfy new individuals. As one first-time attendee put it, “the networking alternatives had been glorious… I completely loved the day!”.
Clients current, not us
At the least one buyer shares how they use Amazon Fast at every occasion. Throughout three occasions, we’ve had Carsa, Arriva, Propulse Lab, and some different prospects on stage. After the very first occasion, one of many clearest items of suggestions was that individuals wished extra buyer audio system. That informed us we had been heading in the right direction. The periods work as a result of the viewers is listening to from friends who face related issues, not from somebody making an attempt to promote them one thing. The affect goes past the occasion itself. Attendees mentioned the shopper tales confirmed them new methods to make use of the instruments and began helpful discussions about return on funding (ROI). One attendee informed us a buyer session “has already prompted a whole lot of dialog internally” at their group.
The workshop is the place it clicks
Each occasion has a hands-on workshop, and folks constantly inform us it’s the half they get essentially the most out of. There’s a spot between watching somebody demo a product and sitting down with it your self. That hole is the place most attendees say Amazon Fast begins to make sense for what they’re making an attempt to do. We all know it lands as a result of the commonest query afterwards is whether or not they can preserve entry to the workshop setting to allow them to stick with it experimenting on their very own.
Conclusion
The success of this 12 months’s meetups is a testomony to each single member who confirmed up, shared their data, and contributed to creating this group what it’s at the moment. As we glance forward, we’re extra energized than ever to maintain this momentum going and proceed pushing the boundaries of what’s doable with Amazon Fast.
Become involved
To study extra about Amazon Fast and join with the group:
For questions in regards to the occasion or the Amazon Fast Group, Kristin Mandia, Sr. Group Supervisor, Amazon Fast Group and Person Group program, at kmandia@amazon.com.
Concerning the authors
