NewAgent-led Vision sessions

Accelerate andde-riskyour AI impact.

AI is not the business. It is how the business gets better at what it already does. KTW AI OS runs that shift end to end: mobilise around real outcomes, build and scale safely, then accelerate what works.

Governed
from day one
Live in weeks,
not quarters
Your data stays
in your tenant
ktwaios.com/accelerate
Built for enterprises running AI at scale
Governed from day one
Policy, controls and lineage built in from the start.
Secure by design
Enterprise-grade security, privacy and compliance.
AI agents that deliver
Purpose-built agents that execute, adapt and improve.
Outcome focused
Every workflow ties to measurable business outcomes.
Scale with confidence
From pilot to production across teams, regions and domains.
See it working

Six minutes, end to end.

A walkthrough of the whole platform — agreeing a vision, reading readiness honestly, and instrumenting what follows. No form to fill in first.

6:12Platform overview
KTW AI OS — the full platform walkthrough
Narrated. Watch it now, or book a demo and we will walk it with you against your own context.
AI agents

Not one assistant. A fleet, one per job.

Each phase has agents that do the work rather than describe it — researching, scoring, ranking, chasing and explaining. Every one states whether it is live, in beta or still coming.

Mobilise— Get focused and get the organisation moving.
Vision BuilderLive

Runs the vision session — researches your public record, drafts a vision, and scores confidence across rounds.

Readiness AssessorLive

Scores capability, data, talent and governance against your vision rather than a generic maturity model.

Strategy AgentBeta

Turns vision themes into ranked value opportunities and a costed initiative portfolio.

Roadmap PlannerBeta

Sequences capability build against funding reality and flags themes with no reachable requirement.

Build— Build the rails before you build the traffic.
Governance AgentLive

Checks initiatives against responsible-AI minimum standards and drafts the control evidence.

Portfolio AgentLive

Watches initiative health, benefits realisation, and surfaces what should be killed early.

Knowledge AssistantLive

Answers from your own frameworks, playbooks and prior engagements — cited, never invented.

Accelerate— Measure what compounds. Change what does not.
Metric Owner AgentLive

Chases submissions, drafts the period narrative, and explains a movement before you have to ask.

Approval AgentBeta

Reviews submitted values against threshold and history, and flags what deserves a human look.

Insight AgentLive

Finds cross-category signal — which capability spend is actually moving delivery.

Benchmark AgentSoon

Positions your metrics against sector peers with like-for-like definitions.

Board ReporterSoon

Assembles the board pack from published, approved values — with the trail attached.

The problem

Access to AI was never the constraint.

Every organisation has the models. What separates the ones capturing value from the ones spending heavily and reporting little is not tooling — it's whether AI is connected to strategy, governed properly, and measured honestly.

The pattern is consistent. Enthusiastic experimentation, no shared view of value, governance arriving after the fact, and a board conversation nobody can win because nobody can evidence anything.
Pilots that never became a programme
Dozens of experiments, real enthusiasm, no consolidated view of value — and a board asking what the return was.
Governance arriving too late
Legal and risk brought in after deployment, so the answer defaults to no and the whole thing stalls.
Impact nobody can evidence
Everyone believes it's working. Nobody can produce a number an auditor or a CFO would accept.
Capability that didn't keep up
Tooling outran the skills to use it, and adoption plateaued at the enthusiasts.
The platform

One connected journey, in three phases

Not modules you buy separately. Each phase produces the input the next one needs — change the vision and every downstream artefact knows about it.

Know where you're going — and get the room behind it.
Most AI programmes fail before a single model ships, because nobody agreed what winning looks like. This phase produces the artefacts everything downstream inherits from.
6 weeks
Typical time from kickoff to board-approved plan
What's inside
Vision
An AI vision built with an agent that has already read your filings, site and public record — validated by exception, scored for confidence, and owned by a named person.
Readiness
Capability, data, talent and governance assessed against benchmark rather than ambition. A null answer is a finding, not a gap.
Strategy
Vision translated into value opportunities and initiatives, each tracing back to a named value category and forward to a capability requirement.
Roadmap
A sequenced roadmap that survives contact with a budget cycle — because sequence, not scope, is what gets funded.
The measurement model

Nine governed categories.
Every number has an owner.

A dashboard is only worth as much as the governance behind it. Every metric in KTW AI OS has a named owner, a named approver and a full audit trail — so the numbers survive scrutiny.

Impact Measures
Revenue, CSAT, operating margin, productivity, employee engagement
Customer Insights
Awareness, consideration, adoption, usage, perceived value
Product Insights
Product satisfaction, time to resolution, support load, feature usage
GenAI OKRs
Goal-based achievement, initiative alignment, strategic value delivered
Risk Indicators
Model risk, data quality, security, responsible AI, operational risk
Data Readiness
Quality score, model coverage, lineage, connectivity, governance
Talent Readiness
AI literacy, role fit, skills ratio, training maturity, capability coverage
AI Maturity
Vision, strategy, productisation, capability, insight maturity
Evaluation Insights
Response quality, safety, responsible AI, truthfulness, latency, availability
Named owner
Someone is accountable for every metric, by name.
Approval workflow
Data moves through review before it counts.
Targets & thresholds
RAG status against targets you set deliberately.
Change notification
Leaders hear when status moves, not a month later.
How it works

From first conversation to governed measurement

The heavy research happens before you're in the room. By the time a session starts there is already a prepared point of view — your job is to correct it, not to build it from nothing.

01
Onboard
We build your context brief before the first session — arena, archetype, competitive position, AI impact forecast. You share material if you want to; public sources if you'd rather not.
02
Focus
Vision, readiness, strategy and plan. Two to three working sessions, agent-led, correcting by exception rather than starting from blank.
03
Mobilise
Guardrails stood up, the Products cadence running, metric owners and approvers named, targets set.
04
Measure
The Accelerate dashboard goes live. Metrics flow through the approval workflow. Leaders get notified when status changes, not a month later.
05
Evolve
Annual and event-triggered review against an unchanged rubric. Reaffirm, amend, rewrite or retire — deliberately.
The heritage

Benchmarked against the world, not against yourself

KTW AI OS is built on the Comparative Agility platform — validated assessment instruments created by domain experts, with a benchmark network spanning millions of data points. Your readiness isn't scored against a maturity model somebody sketched on a whiteboard. It's scored against what comparable organisations actually do.

4M+
Assessment data points
150K+
Respondents in the benchmark network
9
Governed metric categories
3
Phases, one connected journey
Continuous, not one-off
Assessment repeats on a three-to-six month rhythm, so improvement becomes part of the operating cadence rather than an annual event. The rubric doesn't move — the world does.
Questions

The things people ask first

Still something unanswered? The Knowledge Assistant inside the platform can go deeper on any of these.

Services

The platform is the easy part.

Getting a leadership team to agree a vision, and getting owners to submit a number every period, is the work. We do that with you — and then hand it over.

Advisory

Facilitated vision and strategy work with your leadership team, run by people who have done it inside large groups.

  • Vision and value-case definition
  • Readiness assessment and gap analysis
  • Operating model and ownership design

Implementation

Standing the platform up inside your estate — tenant, metric model, data contracts, workflow and enablement.

  • Metric model configuration
  • Data source mapping and tiering
  • Owner enablement and UAT

Managed run

We run the reporting cycle with you until it is a habit, then hand it over cleanly.

  • Period close support
  • Benchmark and insight reviews
  • Quarterly board pack preparation
Get in touch

Start with a conversation, not a procurement process.

KTW AI OS is provisioned per organisation, so the first step is a short call about where your AI programme actually is. No demo environment to sign up for and nothing to install.

What happens next
1A short callThirty minutes on where your AI programme is now and what is actually blocking it.
2A walkthrough on your contextThe platform against your sector and your metric model, not a generic demo tenant.
3A written proposalScope, sequence and cost. If the answer is that you are not ready, we will say so.
We reply within one business day.No sales sequence. One conversation, then you decide.

Know your keys to winning.
Then go and win.

Start with Vision. Twelve to eighteen minutes, agent-led, and you finish with a vision your leadership team has actually agreed on — plus the plan to make it real.

No credit card · Your material stays inside your deployment