Revenue growth
Strengthen commercial strategy, pricing, propositions and routes to market.
Helping telecom operators and enterprises use AI to improve revenue, customer experience and operational efficiency.
DANYTECH is led by Deepak Khanna, an experienced telecom executive and strategic advisor with CEO and executive leadership experience across multiple countries.
We bring an operator’s perspective to every engagement: commercially grounded, execution-minded and focused on outcomes that matter to leadership teams.
How we create value ↗Every engagement begins with the business outcome — and works backwards to the strategy, capability and change required.
Strengthen commercial strategy, pricing, propositions and routes to market.
Turn customer insight into journeys that improve loyalty, value and retention.
Use AI, automation and sharper operating models to simplify delivery and reduce cost.
Make confident decisions on markets, partnerships, infrastructure and transformation.
Connect AI opportunity to measurable commercial outcomes — from customer value management to intelligent sales and service.
Redesign journeys, channels and operating practices around what customers value most.
Identify where process redesign, automation and AI can improve speed, quality and economics.
Shape practical growth, market, portfolio, 5G and digital infrastructure strategies grounded in operator reality.
Build the alliances, commercial models and ecosystem relationships needed to execute at scale.
Advice informed by the realities of leading telecom businesses and being accountable for performance.
Growth, margin, customer value and execution stay at the centre of every recommendation.
Strategy, technology, people and operating model considered as one transformation agenda.
Independent counsel for CEOs, boards and leadership teams.
Senior direction across complex, cross-functional change.
Strategy, commercial model and ecosystem development.
Focused support for decisions that shape the future.
Where leadership teams should focus to turn experimentation into commercial and operational impact.
Telecom operators are rich in AI use cases but often poor in enterprise-wide value. Pilots multiply across customer care, network operations, sales and finance, yet few reshape performance at scale. The issue is rarely the technology. It is the absence of a clear value agenda, accountable ownership and an operating model capable of turning experimentation into repeatable results.
Leadership teams should begin with a small number of measurable business priorities: improving customer lifetime value, reducing cost-to-serve, accelerating fault resolution or strengthening network investment decisions. Each priority needs an executive sponsor, reliable data, redesigned workflows and adoption measures—not simply a model or platform.
The next step is to connect initiatives. Customer insight should inform propositions, service and retention. Network intelligence should influence capital allocation, field operations and customer communication. Shared data, governance and reusable AI capabilities prevent every team from rebuilding the same foundations.
Finally, value must be tracked beyond proof-of-concept metrics. Leaders should measure revenue uplift, cost reduction, customer outcomes, speed and risk. AI becomes strategically important when it changes how the enterprise decides and operates. The winning operators will not be those with the most use cases, but those that convert focused intelligence into sustained commercial advantage.
If the agenda involves growth, AI, customer value or transformation, let’s discuss what progress could look like.