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The pace of change has never been faster. Organizations are under pressure to innovate, adapt, and create impact at scale — and they need to do it in weeks, not months. Traditional development cycles are simply too slow. By the time a new application is ready, priorities may have shifted and opportunities may already be gone.
That urgency is fueling interest in low-code platforms and AI. Together, they combine speed with intelligence, helping organizations build and deploy solutions faster. In fact, in some cases, AI assistants embedded into low-code apps have saved around 641 hours per person annually. But speed alone isn’t enough. Organizations should also have solutions that are secure, governed, and compliant from the start — and designed to scale with confidence They want the reassurance of a platform backed by sustained, large-scale investment in AI. This is where PwC and Microsoft come together, helping businesses innovate quickly while maintaining the trust and resilience of their operations demand.
The limits of traditional approaches
It’s no secret that companies are investing in digital technology on an unprecedented scale. Despite record levels of investment, many organizations struggle to realize full value. Development often gets bogged down in inefficiencies, even with agile and DevOps practices in place. Projects drag on for months, only to go live in a business environment that has already shifted.
At the same time, legacy systems burden organizations with brittle architectures, outdated code, and ballooning technical debt. Applications slow, vulnerabilities multiply, and maintenance overshadows innovation. Skilled developers in these legacy codebases are scarce, and even strong teams wrestle with steep learning curves, poor documentation, and resistance to change.
As AI adoption expands, so do risks related to compliance, data security, and responsible use. Employees, customers, and stakeholders need to be to trust that systems are safe, resilient, and follow ethical standards.
Solution: PwC and Microsoft ecosystem
Meeting the demands of speed, scale, and trust requires more than technology alone. AI is emerging as the engine of transformation, and low-code is the front end that brings it to life. Microsoft calls Copilot the “UI for AI,” and Power Platform surfaces these capabilities at scale. Together, PwC and Microsoft help organizations accelerate transformation while enabling trust at every step.
Accelerated app development: Projects that once took months can now be completed in weeks, or even days. Low-code enables rapid prototyping and deployment without deep coding expertise, while AI assistants streamline automation and collaboration.
Integrated AI at scale: Copilot can serve as the interface for AI, embedding intelligence directly into familiar tools like Microsoft 365, Teams, Power Apps, and Power Automate.
Governed innovation: Microsoft’s built-in guardrails, combined with PwC’s governance model, create “intelligent guardrails” that allow experimentation in safe conditions before solutions move into production.
Sector-specific expertise: PwC pairs deep industry knowledge with Microsoft’s ecosystem, delivering solutions that are not only technically sound but also strategically aligned to business realities.
Low-code and AI aren’t just about moving faster; they’re about moving smarter. With intelligence in workflows, governance at scale, and industry alignment, organizations can innovate responsibly. This balance of speed, scale, and trust helps keep teams in sync so that projects can land on time and on budget.
The impact of low code and Microsoft Copilot
Repetitive work automated: AI assistants handle routine tasks, freeing employees to focus on innovation and higher-value outcomes.
Productivity amplified: Low-code and automation accelerate delivery, turning ideas into solutions faster and driving measurable business results.
Weeks, not months to build apps: Low-code accelerates prototyping and deployment, reducing backlogs and speeding time-to-market.
Enterprise-scale adoption: With built-in governance and security, organizations can roll out solutions to tens of thousands of users with confidence.
Trust at the core: Each deployment is designed with security, compliance, and transparency in mind, driving responsible innovation.
What success looks like
The power of low-code and AI assistants comes to life through practical applications across industries. These examples illustrate the breadth of impact, reaching internal efficiency gains to improvements in frontline service, and extending to enhance consumer safety.
Contract review automation: A global organization implemented a low-code app integrated with AI to analyze contracts, flag risk terms, and suggest updates. The result: About 90% of repetitive tasks were automated and hundreds of hours were saved per employee annually.
Customer support acceleration: A major enterprise in the services sector leveraged low-code and AI to triage customer queries, manage complex workflows, and resolve issues faster. The solution was built in just a few weeks, delivering rapid time-to-value and improving customer outcomes.
Product compliance validation: A consumer-focused company used AI and Power Platform to assess that packaging and product information complied with regulatory requirements across regions and systems of record. This resulted in greater consistency, precision, and consumer trust.
The future of development is built on low-code and Copilot
Low-code and AI assistants aren’t just new tools — they represent a shift in how enterprises build, scale, and compete. The real opportunity is not only speed, but responsible innovation: embedding AI into everyday work, governing it effectively, and tailoring it to achieve measurable business outcomes.
This is where PwC stands apart, combining sector expertise, intelligent guardrails, and an outcome-first approach with Microsoft’s technology. Together, we help organizations move beyond pilots and proofs of concept to enterprise deployments — saving thousands of hours, accelerating time-to-market, and delivering measurable outcomes across finance, legal, operations functions, and more.
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