Radoss.
Now booking · Q3 2026 engagements

The AI execution gap is real.We close it.

Enterprise AI investment is at an all-time high, but most of it stalls between strategy and execution. Pilots run in isolation. Operating models stay theoretical. Teams get trained on concepts they cannot apply to the work in front of them.

By day 60, you have real AI in production and a team equipped to keep building on it. Every iteration compounds on the last.

60.
Days to AI in production
5.
Domains assessed in week one
1:1.
Forward Deployed Engineer ratio
100%.
Customised, never templated

The Gap

Strategy decks don't ship.
Operating models do.

The companies pulling ahead on AI aren't the ones with the best decks — they're the ones who closed the distance between intent and the actual work. Workflows, governance, tech, roles, and skills moved together, not in five separate streams that never quite meet.

Radoss AI Partners is the team that closes that distance with you. Forward Deployed Engineers, AI Product Leaders, and our integrated strategy practice — one pod, two months, one operating model in production.

Three stages.
One operating model in production.

See the 60-day plan →
01.

AI Assessment

We identify where AI can have the highest-leverage business impact across five key domains rarely mapped together: Workflows, Governance, Tech and Data, Operating Model, and People and Skills.

You walk away with a comprehensive report, and a prioritised roadmap including the first AI deployments your team will put into production, backed by clear ROI projections.

  • Cross-domain opportunity map
  • Prioritised AI deployment roadmap
  • ROI projections & success metrics
  • Upskilling plan by role
02.

AI Implementation

We take the AI operating model design from the assessment and our Forward Deployed Engineers build it alongside your team, inside your existing context.

Every engagement is built to work within your stack, governance posture, and risk appetite — not against them.

  • Governance framework (legal-approved)
  • Core agents in production
  • Workflow redesign around AI
  • Integration, LLM selection & security
  • Capacity recovery tracking
03.

AI Training

AI training runs in parallel with implementation, both informed by the same assessment, so your team builds the skills to harness the new operating model — not generic concepts.

Sessions are led by our AI Product Leaders in customised programs.

  • AI strategy for leaders
  • Agent development workshops
  • Prompt engineering by role
  • AI evaluation & quality control

Five domains, rarely mapped together.
We map them in week one.

Why this matters →
01
Workflows
The day-to-day rituals AI can absorb, augment, or accelerate.
02
Governance
Policies and controls your legal team can approve and your board can sign off.
03
Tech & Data
Integration surface, LLM selection, evaluation harness, and security posture.
04
Operating Model
How decision rights, ownership, and roles re-form around AI capability.
05
People & Skills
Who needs to learn what, and how, to keep building once we hand off.

What the first 60 days
look like.

Book a kickoff →
Week 1–2
AI Assessment
Workflow mappingGovernance auditTech & data reviewSkills inventory
Week 3–6
Implementation · Quick wins
First agents shippedWorkflow integrationLLM & data wiringGovernance framework approvedCapacity tracking live
Week 7–8
Operating model & handoff
Operating model in productionCapacity recovery measurementTeam enablement complete

Get Started

Accelerate your path to AI-native.

We meet you where you are, and get you where you should be. Tell us about your highest-leverage workflow and we'll come back with a two-page proposal inside a week.