VAVES
Value Engineering, Solution Architecture, The Business Case And Ownership Of The Measured Outcome — Accountable For Whether Shipping Mattered.
Forwardry
Our Engineers Work Inside Your Environment Until The Thing You Bought Is The Thing You Use.
Palantir proved that enterprise software succeeds through embedded engineering. VDC makes this repeatable with a supporting platform and measurable outcomes.
AIVelocity
The Platform
Packaged accelerators, a reusable agentic component library, guardrails and a multi-model foundation. It is what makes an embedded pod fast in week one.
Forwardry
The Motion
Engineers recruited, trained and certified to a single FDE standard, then embedded in your environment on a fixed pod shape and a sixteen-week clock.
VAVES
The Consulting
Virtuos Agile Value Engineering Solutions. Decides what is worth building, designs it properly, and signs its name to the number it moved.
The demo works.
The deployment
does not.
Enterprises have already seen what the models can do. What they cannot do is get them into the working week — and that gap is where the AI budget currently goes to die.
~95%
GenAI pilots rarely deliver measurable value.
~70%
Demand for forward-deployed engineers is rising.
8
Certified platforms and accelerators, ready day one.
One Motion,
Three Layers,
Eight Alliances
Remove Any One Layer And The Model Breaks: Consulting Without Engineers Sells Slides, Engineers Without A Platform Restart From Zero, And A Platform Without A Pod Is Shelfware.
Forwardry
Engineers Manufactured, Not Sourced. Certified To A Single FDE Standard And Embedded On A Fixed Pod Shape With A Shipped-Code Definition Of Done.
AIVelocity
Packaged Accelerators, Agentic Components, Orchestration, Evaluation And Guardrails On A Multi-Model Foundation. Every Engagement Draws From It And Gives Back.
Sixteen Weeks
From Embed To
Owned Outcome
Forwardry Is Not Staff Augmentation With A Better Name. It Is A Fixed Pod Shape, A Fixed Cadence, And A Definition Of Done That Is Production Code In Your Environment — Not A Recommendation Deck.
WK 00–02Embed
The pod lands inside your tooling, standups and access. No discovery theatre.
The Standard Pod
Fixed Shape. Priced As A Unit,
Not As Bodies.
- 1× FDE LeadOwns The Outcome
- 2× AI EngineersAgents · Evals · Integration
- 1× Platform EngineerPartner Stack · Data · Deploy
- 0.5× VAVES ArchitectValue Case · Design Authority
The Forwardry Ladder
Engineers Are Manufactured,
Not Sourced.
- FDE AssociateAcademy Graduate
- FDE EngineerOwns A Workstream
- FDE LeadOwns The Pod And The Scope
- FDE PrincipalOwns The Account And The Reuse
The Consulting
Discipline That Keeps
The Pod Honest
Forwardry Ships. VAVES Is Accountable For Whether Shipping Mattered. The Second Column Is The More Persuasive Half — It Shows The Model Has Real Separation Of Duties.
VAVES Owns
- The Value Case — The Number We Are Moving, Agreed Before Week One
- Solution Architecture And Design Authority Across The Partner Stack
- Agent Design, Evaluation Criteria And The Risk Position
- The Customer Relationship From Workshop Through Hypercare
- The Post-Go-Live Operating Model And The Named Internal Owner
VAVES Deliberately Does Not Own
- The engineers — Forwardry recruits, trains and certifies them
- The accelerators and components — those belong to AIVelocity
- The platform roadmap — that is the alliance partner's job
- The model choice — multi-model by doctrine, never by default
- Its own standards — VEERED governs how work is executed
Solution Consulting
Architecture across eight partner stacks.
AI Engineering
Agents, evals, integration, platform code.
Value Engineering
Business case, baseline, benefit tracking.
Delivery Excellence
Gates, quality, cutover, hypercare.
CXDesk
Managed run, L1–L3, continuous improvement.
The Platform That
Accelerates Pods
From Day One
Four Layers. Every Engagement Draws Down From Them And Every Engagement Pushes Something Back — Which Is Why The Twentieth Deployment Costs A Fraction Of The First.
Experience Accelerators
Packaged, partner-specific starting points
- CX & Service
- HR & Workforce
- Contract Lifecycle
- Work Management
- Identity & Signature
- Agentic Automation
Orchestration & Guardrails
What makes risk teams sign the form
- Eval Harness
- Human Checkpoints
- Audit Trail
- PII Handling
- Cost Controls
- Observability
Agenticle Library
Reusable AI workers, assembled not rebuilt
- Intake Triage
- Case Summarisation
- Approval Routing
- Document Extraction
- Data Reconciliation
- Next-Best-Action
Multi-Model Foundation
Model choice is an engineering decision
- Claude
- OpenAI
- Gemini
- Azure OpenAI
- Open Weights
- Routing & Fallback
Eight platforms. One deployment motion.
We do not ask you to replace what you run. Every Forwardry pod lands on a stack you have already bought, already trained on, and already budgeted for — which is exactly why it lands.
Customer Experience
Fusion CX, Service and CPQ — agentic service flows and unified customer data on licences already held.
Human Capital
Hire-to-retire journeys, agentic HR service delivery and workforce intelligence inside Workday.
PowerApps · Dynamics
Low-code estates and Dynamics extended with governed agents rather than another sprawl of flows.
Contract Lifecycle
Clause extraction, obligation tracking and no-code CLM automation across the contract estate.
AI Automation
Our own agentic experience engine — the automation layer when no partner product fits the gap.
Work OS
Goals, workflow and cross-functional execution wired to the systems where the work actually happens.
Work Platform
Programme governance, portfolio visibility and operational reporting at enterprise scale.
Identity & Agreement
Identity-assured signature and agreement workflow embedded into the process, not bolted beside it.
One Engagement,
End To End
An Illustrative Composite Of The Pattern We Run — A Mid-Size Insurer Consolidating Claims Service, Contracting And Approvals. Four Inputs, One Pod, Sixteen Weeks.
Oracle CX + Agiloft + DocuSign + Asana — All Already Licensed By The Customer.
Service Accelerator, Three Agenticles, Eval Harness And Audit Trail Lifted Off The Shelf.
One FDE Lead, Two AI Engineers, One Platform Engineer, Half A VAVES Architect.
One Number Agreed In Week One, Measured In Week Sixteen, Owned By A Named Internal Lead.
Notice what is absent: no discovery phase billed as a deliverable, no proof of concept that ends in a report, and no handover to a separate delivery team who were not in the room.
Every engagement
makes the next
one cheaper
Consultancies restart at zero on every deal. A platform-backed FDE practice does not — and that is the whole economic argument.
Step 1
Pod embeds
Engineers land inside a live problem on a partner stack we already know.
Step 2
Pod assembles
Accelerators and Agenticles supply most of the build. Only the novel is written new.
Step 3
Pod returns
Whatever was novel is hardened and pushed back into AIVelocity as a component.
Step 4
Margin rises
The next engagement on that stack starts further along. Cost falls; price does not.
16 Wks
Production or re-scope. No extensions.
≥60%
Reuse-first builds. Maximize AIVelocity components.
1
Owned handover. Named go-live owner.
8
Ready-to-deploy stacks. No learning curve.
We Are Not Selling AI. We Are Selling The Certainty That It Reaches Production — And The Machine That Makes That Certainty Repeatable.
Bring us one problem that
has already failed a pilot.
That is the fastest way to see the difference. We will tell you within two weeks whether a pod can ship it in sixteen — and what the number would be.
