BetterBrain×ViridonHow it fits together

You're not trading cost for customization.

Everything we deliver for Viridon is fully bespoke — built for your documents, your process, your use cases. We're faster and cheaper because we bring a foundation across the whole stack, not because anything is off-the-shelf. This walks through how the pieces fit: the knowledge layer, the tools, the orchestrator, the workflows, and the mini-apps your teams actually touch.

The team stops at 99. The capability doesn't.

01 — The mental model

It isn't a layered cake. It's a network of modules, built in parallel.

The instinct is to picture this as sequential layers — buy the knowledge layer, then bolt on custom tools, then a UI on top. That model breaks, because you can't know what the knowledge layer needs until you know the workflow it has to serve. So we build top-down and in parallel: many small, reusable modules, wired together as the use cases demand.

The trap Sequential layers

UI  — custom interface on top
Custom tools & workflows
Off-the-shelf knowledge layer

Implies "one vendor sells the bottom layer cheap, we add the specific bits on top." It assumes the foundation is generic and fixed. In practice you hit a wall — the retrieval layer alone never satisfies a real workflow, and you can't spec it until you know the workflow.

How it actually works Modules in a mesh

KL·A
KL·B
KL·C
KL·D
Tool
Tool
Orch.
Your data

Each layer is a set of plug-in modules, not a slab. A workflow reaches across layers and pulls only the modules it needs. We build the modules once, then recombine them — which is exactly why a new use case is fast instead of a fresh ground-up build.

Foundation — already built by BetterBrain, customized for Viridon Built bespoke for Viridon Viridon-owned data & sources

02 — The architecture

The whole picture, end to end.

Here's how we think about the architecture. Your documents feed a Knowledge Layer made of many components. Tools and an orchestrator draw on those components — many-to-many. The orchestrator chains tools into workflows. Workflows compose into the mini-apps your teams use. Color shows what we bring vs. build net-new — but everything on this diagram is fully customizable. Every tool, every knowledge-layer component, workflows, orchestrator, mini-apps — even the pieces we've built before, we customize and tune to exactly what Viridon needs.

Flow ↑ Sources (bottom)  →  Knowledge Layer  →  Tools  →  Workflows  →  Mini-apps (top)

Click any tool, workflow, or mini-app to pin what it uses across the stack below. Click again to clear. The links are many-to-many — that's the point.

1

Viridon Sources

your data, owned by you
SOURCESharePoint · proposals · RFIs · contracts · ISO/RTO public docsStays in your tenant. Ingested into the knowledge layer; never used to train other models.

feeds
▲   ingested & structured from   ▲
2

Knowledge Layer

far more than indexing & retrieval — many components
all appsKL·AIndexing & RetrievalHybrid BM25 + vector (Vespa). This is all Glean gives you.
all appsKL·BIngestion & StructuringAny doc type → parsed, chunked, tagged, structured records
KL·CSection & Question ExtractionBreak proposals into sections / RFP questions
KL·D · bespoke"What Changes" MapWhich fields, numbers & vendors shift each cyclefor you
KL·ESelection-Report AdviceWin/loss themes mined from ~200-pg sponsor reports
KL·FTemplate GenerationAuto-built proposal templates from past wins
all appsKL·GConcept Mapping & LinkagesConcepts, customers, projects, terms — and how they link
all appsKL·HScoped Retrieval + RerankingProject / client / global scope, RBAC-aware, reranked
KL·I · bespokePublic-Doc EnrichmentISO/RTO transmission plans, deliverability studiesfor you
KL·J · bespokeRFI Q&A + SME DelegationPrior RFI answers & who owned what last timefor you
KL·K · bespokeStandard-Terms PlaybookViridon's clause library & acceptable positionsfor you
KL·L · bespokeOnboarding GlossaryCompany context, tutorials & how concepts connectfor you

powers
▲   tools & orchestrator pull components   ▲
3

Orchestrator & Tools

both read the knowledge layer · marked tools serve every app
all appsT·QGrounded Q&A / chatCited answers over the knowledge layer — the MCP entry point for every team
T1Read & comment on a paragraphSuggests improvements vs. selection-report themes
T2Draft a sectionFrom template + structured prior wins
T3Identify opportunitiesWhere to differentiate this bid
T4Flow updates across 300+ pagesNumbers, vendors, names everywhere
T5Evaluate against criteriaScore a draft vs. what wins
T6Aggregate & match attachmentsSME reports into one narrative voice
all appsT7Web research & scrapeLive external + public-doc context
T8Build a templateAuto-derive from past proposals
T9SME routerLikely owner from past delegation patterns
T10RFI trackerAuto-populate items & assign owners
T11Clause & field extractorCounterparty, dates, term, obligations
T12Screen vs. standard termsFlag only what needs human review
T13Contract trackerRepository of every NDA & agreement

chains
▲   orchestrator chains tools   ▲
4

Workflows

orchestrated or deterministic chains of tools
WF · proposalSetupTemplate + flag what's outdated
WF · proposalStrategyFind angles & framing
WF · proposalDraftingAI teammate drafts & pulls in attachments
WF · proposalEvaluationReview, comment, propose edits
WF · RFIIntake & matchParse questions · find prior Q&A
WF · RFIDraft responsesFrom proposal, SME reports & past RFIs
WF · RFIRoute & trackAssign SME owners · populate tracker
WF · ISO/RTOSME Q&APublic docs + project history for a customer
WF · onboardingNew-joiner chatCompany context, people, terminology

composes
▲   composed of   ▲
5

Mini-apps

what each team touches
APP·1Proposal Writing AssistantOrigination · Erin
APP·2RFI Response DrafterOrigination
APP·3Legal Contract ScreenerLegal (2-person)
APP·4ISO / RTO SME + OnboardingAll teams

Two things the colors say. First, the components marked all apps — retrieval, ingestion, concept linkages, scoped retrieval, grounded Q&A, web research — are shared infrastructure every mini-app reuses. Second, almost everything is foundation we've built and customize to you; the bespoke pieces — app-specific tools (T1, T3, T4, T6, T10, T12) and knowledge-layer modules KL·D & KL·I–L — are where we spend the saved time. Glean would bring only KL·A, some generic off-the-shelf tools (not customizable), and stop.

03 — The grammar

A workflow is just a recipe of these parts.

Once you see the modules, every workflow is a combination of them. Some need the orchestrator to reason and route; some are a fixed, deterministic chain of tools. Either way, it's parts off the same shelf.

Workflow  =  Orchestrator (optional)  +  Tool·A Tool·B  +  KL·A KL·C

Worked example — "Selection-report suggestions" workflow

Orchestrator + T1 · read & comment T3 · identify opportunities + KL·A retrieval KL·E selection advice KL·G concept mapping

The orchestrator reads the selection-report advice, pulls the relevant prior sections, runs the comment tool paragraph-by-paragraph, and surfaces where this bid can differentiate. Swap the parts and you get a different workflow — no new ground-up build.

04 — The first mini-app, end to end

Proposal Writing Assistant: four phases, one foundation.

Erin's real workflow runs over months. Here's how the modules above show up across it — Setup is mostly her, then the AI works as a teammate that drafts, researches, comments, and proposes changes she approves.

Phase 1

Setup

Erin-led · deterministic
  • Erin highlights outdated info in a past proposal that must change
  • Inserts new project basics — name, sponsor, key numbers
  • AI generates the working template & flags everything likely to change
T8 templateT4 flow updates KL·CKL·DKL·F
1
Phase 2

Strategy

AI + Erin · orchestrated
  • Work through each section against the client brief & relevant docs
  • Use selection feedback + project-specific docs to find angles
  • Surface areas of opportunity from knowledge of Viridon's process
T3 opportunitiesT5 evaluateT·Q Q&A KL·AKL·EKL·GKL·H
2
Phase 3

Drafting

AI teammate · orchestrated
  • Multiplayer document editor with a writing assistant
  • Aggregates SME attachments into one narrative voice
  • AI drafts, comments, researches & scrapes the web — like a teammate
T2 draftT6 aggregateT7 researchT1 comment KL·AKL·BKL·CKL·FKL·H
3
Phase 4

Evaluation

AI + human gate · orchestrated
  • Evaluate the full proposal; leave comments across it
  • Human approves / denies each task or change the AI proposes
  • AI takes on approved tasks and flows the edits through
T5 evaluateT1 commentT4 flow updates KL·DKL·EKL·GKL·H
4

05 — The same foundation, more mini-apps

Every future use case reuses what we've already built.

The whole point of the foundation is leverage. Proposal writing is its own beast — but the next mini-apps don't inherit its proposal-specific tools. They sit on the shared infrastructure every app uses, then add a few pieces of their own. That's why each new app is a fraction of the first.

Shared foundation · used by every mini-app KL·A retrieval KL·B ingestion KL·G concept mapping KL·H scoped retrieval T·Q grounded Q&A T7 web research

RFI Response Drafter

Origination teams

Drafts answers to customer follow-ups using the proposal, SME reports, and prior RFI Q&A; flags the likely SME for open items from past delegation patterns; auto-populates and assigns owners in an RFI tracker.

Shared foundation
KL·AKL·BKL·GKL·HT·Q
Specific to this app
KL·J RFI Q&A + delegationT9 SME routerT10 RFI tracker

Legal Contract Repository & Screener

2-person legal team

Pulls counterparty, dates, term, and obligations from every NDA/contract into a tracker; screens incoming NDAs against Viridon's standard terms and flags only what needs human review.

Shared foundation
KL·AKL·BKL·HT·Q
Specific to this app
KL·K standard-terms playbookT11 clause extractorT12 screen vs. termsT13 contract tracker

ISO / RTO SME Assistants

Development & origination

AI SMEs with deep knowledge of specific customers — answering questions on project histories, long-standing system constraints, and past workshop outputs from large volumes of public ISO/RTO documents.

Shared foundation
KL·AKL·BKL·GKL·HT·QT7
Specific to this app
KL·I public-doc enrichment

AI Onboarding Assistant

All new joiners

Internal chatbot covering company context, projects, people, industry terminology, and how core concepts connect. Almost entirely shared foundation — which makes it simple to stand up once the core components of the brain exist.

Shared foundation
KL·AKL·BKL·GKL·HT·Q
Specific to this app
KL·L onboarding glossary

06 — The leadership case

Off-the-shelf isn't a cheaper version of this. It's a different product.

Two decisions for leadership: buy off-the-shelf or build the platform — and if we build, with whom. Below is the outcome each path actually delivers, measured against everything the platform needs. Same skeleton in all three; what's filled in is the whole story.

Pre-built & optimized by BetterBrain Built bespoke Generic off-the-shelf Not delivered — and no one in-house to build it
vs off-the-shelf (Glean)

You'd buy roughly a tenth of the solution — the search box — and still have no way to build the other nine-tenths.

vs other vendors

The identical bespoke outcome — but pre-built, optimized layers make it faster, more performant, and far cheaper.

07 — The same picture, component by component

Same bespoke result. A fraction of the build.

Three ways to get here. An off-the-shelf tool gives you one box and stops. A bottom-up vendor builds every box from scratch — fully custom, but slow, expensive, and untested. We bring the boxes already built and spend our time slotting in the few that are uniquely yours.

$

Glean / off-the-shelf

SaaS · fixed
ABCD EFGHI
  • Indexing & retrieval over your data — and that's it
  • No "what changes," no selection-report advice, no templates
  • Can't be shaped to Erin's real workflow
  • You still can't build the rest yourselves
$

BetterBrain

foundation + fully bespoke
ABCD EFGHI
  • Bring most of the stack already built — and proven
  • Spend the saved time on the pieces unique to Viridon
  • As bespoke as a ground-up build, fast enough to pilot in weeks
  • Fully owned by Viridon — sits in your platform, transfers with the company
$$$

Bottom-up build

new vendor · from scratch
ABCD EFGHI
  • Fully custom — but every box built from zero
  • Months of build before anything works end to end
  • Untested architecture; implementation scars come on your dime
  • ~$300K-class effort for the same destination
Brings off the shelf (built & proven, customized to you) Builds bespoke for Viridon Not available

You get the $$$ result at the $ price — and you own everything that makes Viridon, Viridon.

We're not cheaper because we cut corners on customization. We're cheaper because the foundation — UI, tools, orchestrator, knowledge layer — is already built. We're not writing all the code; we're slotting in the pieces that make this Viridon's. The knowledge layer, apps, and orchestration sit in your platform and transfer with the company — an owned asset in the data room.

Foundation across the full stack. Delivery fully bespoke.