Skip to content
Tony Wood
Home

UK executives now lose over 16 hours weekly chasing usable information

Tony Wood |

Executive Snapshot

UK executives now lose over 16 hours weekly chasing usable information—while competitors seize the initiative. Agentic AI flips overload into clarity, surfacing actionable insights proactively on dashboards that work for every board role. The upside? Quicker decisions, increased trust, and an innovation premium. Move fast or risk watching market leadership slip away.

Key Takeaway: By adopting accessible, AI-driven dashboards, your board can halve decision lags—and boost EBITDA—even as regulatory pressure and complexity rise.

 

Strategic Imperative

  • Market Context:
    • 71% of UK C-levels say “analysis paralysis” slows key decisions (CXO Magazine, 2024).
    • Executives fear falling behind in digital adoption as regulatory complexity and scrutiny grow.

  • Competitive Lens:
    • Blue-chip boards now use agentic dashboards—AI that “pushes” actionable choices—cementing reputations for speed and compliance (CXO Magazine).

  • Vision Statement:
    Agentic intelligence puts every C-suite member—CEO, CFO, CHRO—on the same page, with proactive, role-adapted insights at a glance. Decision-makers become orchestrators, not data wranglers. Trust and agility become brand hallmarks.

"Failing to adopt agentic systems may cost us £20M in lost share by 2028."

 

Business Impact

Dimension Current Baseline Target (12 mo) Value (£/Δ)
Cost-to-Serve £10M £8M -20%
Cycle Time 14 days 6 hours -90%
Revenue Uplift – +£2.6M +8%

Case Example

Division: Retail Finance • Pilot Agent: Automated Board Pack Summaries
Outcome: 80% reduction in prep time, £500k saved in staffing, decisions executed two weeks faster.

 

 

Risk & Mitigation

Risk Category Impact Likelihood Mitigation Owner
Regulatory Compliance High Medium GC / CAO
Data Security High Low CISO
Change Fatigue Medium Medium CHRO

Control Framework:
Adopt ISO/IEC 27001-aligned controls and IBM Carbon’s open, accessible design system (IBM Carbon).

 

Implementation Roadmap

  1. Quarter 1 – Foundation
    • Finalise governance for data/AI ethics
    • Launch agentic dashboard “sandbox” pilot for 2 core roles
  2. Quarter 2 – Pilot & Measure
    • Roll out to C-suite; feedback loop via weekly refinement
    • Track reduction in decision cycle and survey trust increase
  3. Quarter 3 – Scale
    • Expand to all business units
    • Standardise templates; provide full accessibility (dark mode, dyslexic-friendly toggles)
  4. Quarter 4 – Optimise & Automate
    • Automate board reporting and alerts
    • Target 75% process automation, with live compliance dashboard

See IBM Cognos/Dashboard inspirations: IBM Cognos Analytics and Figma Community dashboard kit: Enterprise Dashboard Kit.

 

KPIs & Governance

  • North-Star Metric: Board decision cycle time (days → hours)
  • Operational KPIs: Insight surfacing time • User satisfaction (by accessibility mode) • Platform uptime
  • People KPIs: Adoption by role (%) • Reskilling completion (%) • Change readiness
  • Governance Cadence: Monthly steering committees; quarterly board retrospectives

 

Board Decision Points

Decision Required Action Timing
CapEx Allocation Approve £1.2M for pilot & scale This meeting
Policy Endorsement Approve updated AI/Privacy policy Within 30 days
Talent Strategy Green-light upskilling budget Next quarter

Motion for Approval: Authorise pilot phase—£1.2M budget to unlock savings on decision cycles by Q3.

Appendix / Resources

Call to Action: "Let’s approve the AI dashboard pilot today—so we can halve decision time and capture £2.6M in extra revenue before our competitors catch up!"

Image and Visual Credits

References

Share this post

Keep reading