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Emerging Technologies

Emerging technology without evaluation criteria is risk, not innovation. We evaluate and integrate new technologies based on real impact on predictability, margin, and operational control - generative AI, advanced automation, and emerging platforms go through the same rigor as any institutional decision.

Emerging technologies by the numbers

47%

of records contain critical errors - installing new technology on top of bad data amplifies the problem

Nagle, Redman & Sammon / HBR 2017
8–12%

of revenue destroyed annually by low-quality data - technology does not fix data

Redman / Communications of the ACM 1998
15–25%

of revenue eroded by incomplete or duplicate data

Redman / MIT Sloan Management Review 2017
78%

of clinical data becomes unreadable when switching between systems from different vendors. Interoperability precedes implementation

Bernstam et al. / JAMIA 2022

The invisible risk in emerging technologies

47% of records contain critical errors. Installing new technology on top of bad data amplifies the problem - it does not solve it.

When technology decisions are driven by vendor hype rather than the real problem, every investment creates a layer of complexity without returns. The result is recurring cost, PoCs that do not scale, and an innovation roadmap that never leaves the slide deck.

The real scenario

Four traps that turn innovation into cost

Each of these gaps operates in silence. Together, they define the difference between technology that generates value and technology that generates dependency.

01

Decision by hype, not by problem

The company adopts technology because the market did - without diagnosing which problem needs to be solved. Every evaluation cycle consumes time and budget without generating clarity.

02

PoCs that do not scale

Proofs of concept without predefined success criteria. The pilot works in the lab but does not survive real data, real processes, and the real scale of the operation.

03

Nonexistent interoperability

78% of data becomes unreadable when switching between systems from different vendors. Every new platform creates an additional silo - and the integrated view never materializes.

Bernstam et al. / JAMIA 2022
04

Revenue eroded by incomplete data

15 to 25% of revenue eroded by incomplete or duplicate data. The technology exists but operates on information no one trusts. The investment becomes a recurring cost without measurable returns.

Redman / MIT Sloan Management Review 2017

Struc­tured Tech­nology Ap­plied

Bunker

We have seen this scenario before. And we know where hype separates from results.

Companies do not fail for lack of technology. They fail because they adopt technology without diagnosing the real problem. The Bunker Protocol evaluates, prioritizes, and validates before committing budget - generative AI, automation, and emerging platforms go through the same rigor as any institutional decision.

We do not sell technology. We structure the evaluation that makes technology generate value.

  • +300 CRM projects with architecture and governance
  • +120K users impacted in operation
  • 8 countries with commercial governance installed
  • Generative AI and automation applied with criteria and structured PoC

Bunker Protocol applied to Technologies

Four phases. One architecture. Auditable outcome.

Phase 01

Structural Diagnosis

We map the current state of the technology base - where the data is, where processes depend on obsolete technology, and where innovation is real versus perceived. The diagnosis reveals which problems technology needs to solve before choosing which technology to use.

Outcomes
  • Technology maturity map with real gaps identified
  • Problems prioritized by impact on revenue and operations
  • Data readiness assessment for new technologies
Phase 02

Prioritization Architecture

With the diagnosis in hand, we evaluate emerging technologies with impact, feasibility, and risk criteria. We prioritize the use cases with the greatest potential for real value and design the validation architecture.

Outcomes
  • Technology evaluation matrix with objective criteria
  • Use cases prioritized by demonstrable value
  • PoC architecture with defined scope and success criteria
Phase 03

Tailored Engagement

We execute proofs of concept with real data, controlled scope, and defined go/no-go criteria before scaling. Generative AI, automation, and emerging platforms are validated in the real operation - not in the lab.

Outcomes
  • PoCs executed with real data and clear success metrics
  • Go/no-go decision documented with evidence
  • Documented learnings for every technology evaluated
Phase 04

Outcomes and Transfer

We install the innovation roadmap with decision governance at every stage. A 12- to 36-month horizon with priorities based on demonstrated impact. The goal is for your team to evaluate and adopt technology autonomously.

Outcomes
  • Innovation roadmap with governance installed
  • Technology evaluation framework transferred to the team
  • Autonomy to evaluate, prioritize, and adopt technology with criteria

Transformation

From technology hype to innovation with criteria

Without Bunker

Innovation without method

  • Technology decision driven by market trends, not by real problems
  • PoCs without success criteria that never scale to operations
  • 78% of data unreadable between systems from different vendors
  • Aspirational roadmap that never leaves the planning slide
  • Every investment creates more complexity without measurable returns

With Bunker

Technology with structural purpose

  • Evaluation by real impact with feasibility and risk criteria
  • PoCs with real data, controlled scope, and documented decision
  • Interoperability designed before committing to a platform
  • Executable roadmap with decision governance at every stage
  • Generative AI and automation validated in operations, not in the lab

Every month of technology without criteria costs revenue that does not come back.

The first step is a structural diagnosis. No commitment, no generic PowerPoint. Assess whether your scenario justifies a different architecture.

Frequently asked questions

Answers on emerging technologies

01 What is technology consulting? Expand

It is the guidance on which technologies to adopt and how to adopt them based on real business impact: predictability, margin, and operational control. Bunker evaluates technology by the result it sustains, not by the hype.

02 How do you evaluate an emerging technology? Expand

By defining criteria before the pilot: what problem it solves, what measurable gain it brings, what risk it introduces, and what internal conditions the company needs to extract value. Without criteria, any proof of concept becomes opinion.

03 When does a new technology generate real value? Expand

When it connects to a defined use case, with clear guardrails and metrics. Technology without method embedded into operations accelerates chaos, not decision.