Business
Brandquad: Managing a Team Remotely and Impact on Performance

Today, remote management or remote management is a management solution adopted by the majority of companies. Indeed, with the impact of Covid-19, many employees are forced to work from home. Remote management is thus becoming, for companies, one of the keys to overcome this crisis. However, working remotely cannot be improvised and the managers who implement this method at the time of this health crisis must have in mind a few rules of good practice. This is why Brandquad, an international company that has been successfully using this working method for several years now, has decided to share its good advice to help companies to make remote management work in an optimal way.
When working remotely with employees from different backgrounds, there are a number of obstacles that companies have to overcome. According to Anthony and Phillip from Brandquad, there are four barriers to overcome: cultural differences, distance, language, and professions. However, this is no easy task for this international company specializing in product content management. Here are his tips.
Making remote management work
Established in Paris, Moscow and Dubai, Brandquad is a master in the art of bringing together very different and culturally distant profiles.
It all starts with quality recruitment. Ideally, it should target the younger generation, because remote management implies a new, more modern way of working. In addition, it is necessary to ensure that candidates are able to work remotely, that they are sufficiently autonomous and receptive to the fact that they are simply “drifted”. It is also necessary to recruit different and complementary profiles, both technical and commercial.
Next, the company must set up network tools to maintain contact between the different collaborators, even though they are physically distant from each other, and to monitor the progress of projects. In order to do so, Trello is a versatile and very well-thought-out tool that brings transparency, follow-up and interaction. For its part, Brandquad uses Skype instant messaging, the Google suite (Drive, Calendar, etc.) and HubSpot.
Finally, priority must be given to the different profile management. Getting people with different cultures and languages to work requires certain measures to be put in place. Employees must be driven rather than micromanaged. In other words, they must be given an objective and be given regular check-ups to ensure that they are progressing well in their work. These points of contact are small rituals that break the distance.
Impact on performance
Overall, remote management has a positive impact on business performance. Distance tends to make employees more autonomous and productive because, especially if they are well driven, they do not feel constantly monitored by their manager. They are more motivated to achieve their goals and are also happier at work.
Above all, remote management requires a trusting relationship between employees and managers. Distance requires an effort of transparency and implies regular reporting. This monitoring allows employees to show the progress of their project and involves them fully in the achievement of their objectives.
Remote management also promotes productivity and the separation of tasks in the sense that each employee is placed in the country he or she knows best. In this way, he or she will be able to gain a competitive advantage and enable the success of his or her company on an international scale.
For Brandquad, remote management is a way of working that is becoming more and more essential for companies in the current context that is emerging: modernization of managerial techniques, recurrent strikes, the Covid-19 pandemic, etc.
Business
MetaWorx: Building Full-Stack AI Teams, Not Just Automation

Automation still dominates most headlines, yet the returns often fail to meet expectations. A sprawling chatbot rollout might shave a few support tickets, but it rarely shifts the profit-and-loss statement in a lasting way.
McKinsey’s 2025 workplace survey pegs AI’s long-term productivity upside at $4.4 trillion, but only one percent of enterprises say they’ve reached true “AI maturity.” MetaWorx, a Dallas, Texas-based AI employee agency founded by Rachel Kite, argues that the shortfall has nothing to do with models and everything to do with people.
“Treat AI like a point solution and you’ll get point-solution results,” shares Kite. “You need a roster that can carry the ball from raw data to governance, or the whole thing stalls at the proof-of-concept phase.”
The pod blueprint
When a plug-and-play automation script collapsed under real-world data drift, costing Kite a lucrative contract, she sketched the six-person “pod” that now anchors every MetaWorx engagement:
- An infrastructure architect to tame compute costs.
- A data engineer to secure and shape pipelines.
- An applied scientist to prototype models against live feedback loops.
- An MLOps engineer to automate rollback and retraining.
- A domain product lead translates forecasts into features users actually notice.
- Ethics and compliance analysts to stress test outputs for bias and keep the audit.
The team’s first sprint still delivers a quick-win bot — “small enough to calm the CFO,” jokes Kite — but the roadmap quickly pivots to reliability, explainability, and eventually optimization. By tying every algorithmic decision to a quantifiable business metric, the pods turn AI from a science project into a growth lever.
Recruiting for curiosity, not credentials
With Bain & Company predicting a global AI-skills crunch through 2027, MetaWorx has stopped chasing unicorn résumés. Instead, it hires “adjacent athletes”: a computer-vision PhD who hops from medical imaging to warehouse surveillance, or a former journalist who recasts her nose for story into prompt-engineering finesse.
“Domain expertise expires fast,” Kite says. “What doesn’t expire is the instinct to ask better questions.” The result is a lattice of overlapping skills that stays flexible when models wander into the long tail of edge-case data.
A culture of rapid experiments
Inside MetaWorx, every idea faces the same litmus test: ship something — anything — into a user’s hands within 21 days. The “three-week rule” forces prototypes into the wild early, where failure is cheap and feedback is swift. Post-mortems, including cost overruns, are circulated company-wide, erasing any stigma associated with missteps.
That laboratory mindset powers velocity. “Our first model is almost always wrong,” Kite admits, “but version 1.0 is the tuition we pay for version 2.0.” The philosophy echoes her TEDx talk on resilience: progress is iterative, not heroic.
How leaders can steal the playbook
Executives itching to replicate MetaWorx’s results don’t need a blank check. Kite offers a five-step sequence:
- Inventory pain points, not tools: Walk the P&L line by line and tag the friction you can measure.
- Map the stack to the problem: A recommendation engine, for instance, requires behavior data, retraining triggers, and feedback capture — automation alone won’t suffice.
- Stand up a pod: Reassign existing talent into a cross-functional tiger team before hiring externally; the chemistry test is free.
- Measure the story, not just the statistic: Pair model accuracy with human-scale metrics like ticket backlog or employee churn.
- Budget for the boring: Reserve at least 30 percent of spend for MLOps and governance; Stanford’s HAI review links most AI failures to neglected upkeep.
Taken together, those steps shift AI from a pilot novelty to an operational habit that compounds value rather than topping out after an initial PR splash.
Character still scales faster than code
MetaWorx plans to double its headcount this year, yet Kite insists the secret isn’t a proprietary framework or a monster war chest. It’s credibility. Clients see a founder who has wrestled with the same outages and surprise bills they face. That authenticity converts skeptics faster than any algorithmic novelty.
“Tools level out,” Kite says. “Culture compounds.”
The insight lands in a marketplace still dazzled by generative fireworks. Yes, MetaWorx ships models and dashboards, but its true product is a mindset: resilience over rigidity, questions over credentials, experiments over edicts. In Kite’s world, automation is merely the appetizer. The main course is a full-stack team that knows why the model matters to the business and who owns its success after launch day.
And that, Kite argues, is how AI finally graduates from cost-cutter to growth engine, one curious pod at a time.
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