Skip to main content

Featured

India's Technological Renaissance: Semiconductor Breakthrough and 6G Ambitions Under PM Modi's Leadership

  India's Technological Renaissance: Semiconductor Breakthrough and 6G Ambitions Under PM Modi's Leadership Introduction: A Watershed Moment in India's Technological History In a historic announcement that signals  India's arrival  as a global technology powerhouse, Prime Minister Narendra Modi has declared that the nation's first domestically manufactured semiconductor chip will reach the market by December 2025. Simultaneously, India is making  rapid progress  on developing its indigenous 6G network infrastructure. These parallel technological missions represent perhaps the most significant strategic initiatives in India's post-independence technological history, potentially reshaping global supply chains and positioning the country as a  formidable player  in critical technologies that will define the 21st century economy and security landscape. This ambitious push toward technological self-reliance underscores India's transformation from a passive...
Post a Comment
Read more

AI Agents Just Killed the Silo: End-to-End Integration Goes From Pipe Dream to Playbook

 AI Agents Just Killed the Silo: End-to-End Integration Goes From Pipe Dream to Playbook


Quick take: A recent Forbes SAP Brand voice piece argues that embedded AI agents—living inside the business apps teams already use—are finally making end-to-end (E2E) process integration practical across order-to-cash, source-to-pay, and beyond. It frames 2025 as a breakout year for “agentic AI” in the enterprise. 

 

What the Forbes piece is really saying

  • Agents belong in the apps, not the sidebar. By embedding agents directly into ERP, finance, supply chain, and CX systems, you reduce swivel-chair work and let agents act where clean data and permissions already live. 

  • E2E > point automations. The real value shows up when agents traverse system boundaries to close loops—e.g., detect a late shipment, renegotiate terms, update ATP, notify sales, and trigger proactive service. 

  • Governance is not optional. Guardrails, auditability, role-based access, and human-in-the-loop are essential as agents execute across regulated workflows. A companion Forbes article focuses specifically on managing these risks. Forbes

  • Momentum is industry-wide. Leaders increasingly expect agentic AI to define 2025’s enterprise AI wave, not just chat or copilots. ForbesSequoia Capital




Why this is happening now

  1. Unified data + process context. Enterprises are prioritizing harmonized, trusted data and integrated process backbones—exactly what E2E agents need to reason and act. SAP News CenterForbes

  2. Platforms are agent-ready. SAP and peers are embedding AI across ERP, mapping capabilities with tools like LeanIX, and exposing events/APIs so agents can orchestrate real work. Forbes

  3. Agents move beyond chat. 2025’s standout companies are using agents and reasoning models to take on real workflows, not just generate text. Sequoia Capital




What changes in the day-to-day

  • From dashboards to decisions: Instead of a human stitching five systems together, an agent does it and asks for approval only when needed. Forbes

  • Exception-first operations: Agents automate the happy path and escalate intelligently, shrinking cycle time and variance. 

  • Cross-tool choreography: Demonstrations now show agents in one suite handing off to copilots in another via natural-language “handshakes.” This is how you get multi-agent, multi-vendor E2E flows. The Australian

reference architecture you can copy

  • Data foundation: A harmonized, governed lake/warehouse + master/transactional data from ERP and adjacent apps. SAP News Center

  • Integration fabric: Event bus + API layer so agents can subscribe, sense, and act across domains. (Think IPaaS and workflow tools that already speak your systems.) WikipediaForbe

  • Agent control plane: Policies, RBAC, approvals, audit trails, and kill-switches; attach process mining/observability to watch agent behavior. Forbes

  • Experience layer: Agents embedded where people work—ERP screens, collaboration tools, or mobile—so adoption is native, not bolted on. 

5 high-ROI “thin slices” to pilot in 30–60 days

  1. Invoice variance resolution: Agent triages mismatches, requests docs from vendors, posts adjustments for approval.

  2. Proactive late-shipment playbook: Detect risk, re-plan, notify customer, auto-offer alternatives with approval gates.

  3. Returns & refunds triage: Pull order history, verify eligibility, generate labels/credit memos, trigger refurbishment flow.

  4. Lead-to-cash hygiene: Enrich leads, dedupe, route, generate quotes; sales only steps in for price/terms.

  5. Supplier onboarding: Validate compliance docs, kick off banking/KYC, update vendor master, notify AP.

(These are representative patterns that many firms report as fast wins once an agent can see events and call APIs across systems.) Forbes


How to measure success (and keep it safe)

  • KPI set: Cycle-time delta, percent auto-resolved, exception rate, human-override rate, compliance/audit hits, and realized cash-flow impact.

  • Risk controls: Prompt-library governance, data-minimization, approval thresholds, per-action logging, red-teaming, and staged rollouts (sandbox → canary → cohort). Forbes’ risk guidance for agentic workflows is a good checklist. Forbes

 

The bottom line

The Forbes article’s core thesis holds up: when agents are embedded where data, permissions, and processes already live, E2E integration stops being a moonshot and starts looking like an operating model. The winners will combine clean data, an integration fabric, and a governed agent layer—then scale thin slices into full, closed-loop processes. 


Further reading & context you can skim right now:

Fresh reads on agentic AI & E2E integration

The Age of Agency: why Agentic AI will redefine the future of work

The Age of Agency: why Agentic AI will redefine the future of work



Comments

Post a Comment