CLARIOO
Where It All Starts
A Request Gets Captured
Every decision starts somewhere — a message, a meeting, an idea. Clarioo captures it the moment it happens, regardless of where it came from.
Slack
Email
Meeting transcript
AI agent
Voice note
Slack · #product-ops
"We need to decide — should we buy or build our new order management system? The current one is falling apart, orders are getting lost, and fulfilment is a mess."
VP Product → COO Monday · 10:42 AM Without Clarioo: debated for months, never decided
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Clarioo captured this request
Monday 10:42 AM · Processed in <2 seconds
1
Request detected — Slack message in #product-ops flagged as a strategic decision request. VP Product → COO conversation intercepted.
Done
2
Intent extracted — "Order management system replacement" identified as core topic. Buy vs. build framing detected — Clarioo flags this as a parallel-track decision.
Done
3
Prior context found — Engineering proposed a rebuild 6 months ago. Fulfilment error reports, vendor RFI from Q4, and COO's ops review cross-referenced automatically.
Done
4
Routed to intake queue — Added to this week's 28 open requests alongside requests from email, meetings, and other AI agents.
Queued
See This Request Alongside Everything Else This Week →
What Enterprises Deal With Every Week
28 Requests. Zero Infrastructure.
Real change requests flooding in from people, agents, meetings, and emails — across every function. Today, they live in Slack, inboxes, and people's heads.
This is one week.

No system captures these. No one triages them. Most will stall or die. The few that get acted on depend on who shouted loudest — not what matters most.

The System View
28 Requests → 6 Decision Clusters
Clarioo automatically clusters related requests, detects duplicates, identifies dependencies, and surfaces what the organisation should focus on first.
✕

From 28 chaotic requests to 6 structured decision tracks

Each cluster has a clear owner, evidence package, stakeholder map, and timeline. Decision memory captures everything for the future.

0
Raw requests captured
0
Decision clusters
0
Duplicates merged
0
Dependencies found
How Clarioo Processes a Single Request
From Vague Intent to Structured Understanding
Clarioo takes a raw request, unpacks the real intent, maps the problem space — then connects it to everything else in the system.

RAW REQUEST

"We need to decide — should we buy or build our new order management system? The current one is falling apart, orders are getting lost, and fulfilment is a mess."
Source: VP Product, via Slack message to COO · Monday 10:42am
Clarioo unpacks the intent and gathers context
1
Evidence & Sources
7 sourcesSlack · Transcript · Document · Meeting · Report · AI Interview · RFI
Evidence & Sources
Slack message to COO
VP Product · #product-ops · Mon 10:42am
Slack
Product & Ops weekly standup transcript
14 participants · Mon Mar 10 · 55 min
Transcript
AI stakeholder interview — Fulfilment team
6 participants · Feb 20 · 22 questions · AI-conducted
AI Interview
Engineering OMS rebuild proposal (Q4 2025)
VP Engineering · Dec 2025 · archived
Document
COO operations review — Q1 offsite
COO + CTO + VP Product · Jan 18 · Meeting notes
Meeting
Order error & fulfilment failure report — Q1 2026
Head of Fulfilment · 183 incidents flagged
Report
Vendor RFI responses — 5 OMS platforms
Procurement · Q4 2025 · Partial evaluation
RFI
2
Intent Analysis
Real problem · Current state · Success criteria

01 — THE REAL PROBLEM

What's actually hurting?

  • Legacy OMS built in-house 8 years ago — can't scale
  • 12% order error rate (lost, duplicated, or mis-routed)
  • Average fulfilment time: 3.4 days (target: same-day)
  • $2.1M/yr estimated lost revenue from failed orders
  • 3 engineers spend 60% of time on maintenance

02 — CURRENT STATE

What exists today?

  • Custom-built monolith, no API integrations
  • Manual warehouse sync via CSV uploads
  • Engineering proposed a rebuild 6 months ago (stalled)
  • Vendor RFI sent Q4 — 5 responses, never evaluated
  • $750K budget earmarked for FY26 systems

03 — SUCCESS LOOKS LIKE

How do we know it's solved?

  • Order error rate <1% (from 12%)
  • Same-day fulfilment capability (from 3.4 days)
  • API-first architecture, integrated with warehouse & ERP
  • Scale to 10x current order volume
  • Total cost of ownership justified within 18 months
Clarioo connects this to the bigger picture
3
Connections & Decision Card
1 duplicate · 4 related · 3 dependenciesStakeholder map
Duplicate Detected
PEOPLE Engineering
"Engineering proposed an OMS rebuild 6 months ago — full architecture doc exists but was never actioned"
Duplicate — merged
Same Cluster (Build vs. Buy)
PEOPLE Data
"Should we build our own analytics dashboard instead of paying Looker?"
Same cluster — similar decision pattern
PEOPLE Sales
"Need to decide: hire 2 more SDRs or invest in outbound automation"
Same cluster — build vs. buy pattern
Dependencies
PEOPLE Supply Chain
"Can we replace our legacy ERP module for inventory?"
Dependency — OMS must integrate with new ERP
AI AGENT Data
"Our data warehouse costs have tripled in 12 months"
Dependency — OMS data pipeline affects warehouse load
PEOPLE Sales
"Our CRM is too expensive — should we switch?"
Dependency — CRM integration critical for OMS

CONNECTION SUMMARY

Duplicates found1 (merged)
Same cluster4 requests
Dependencies3 cross-cluster
Stakeholder overlapCOO, CTO, VP Eng, Finance

STRUCTURED DECISION CARD

DecisionOMS Replacement — Buy vs. Build
PriorityCritical — $2.1M/yr lost revenue, 12% error rate
ComplexityHigh — parallel tracks, cross-functional, ERP dependency
Decision typeBuy vs. Build — parallel evaluation
Est. decision time4 weeks (parallel tracks)
Budget envelope$750K (FY26 systems budget)
ClusterBuild vs. Buy Decisions (4 related)
Linked toERP Upgrade · CRM Migration · Data Warehouse

STAKEHOLDER MAP

Decision Owner
COO
Input Required
VP Product — Requirements VP Engineering — Build feasibility Head of Fulfilment — Operations CTO — Architecture review
Approval Gate
CFO — Budget (>$500K) CEO — if core platform change Legal — Vendor contracts
Clarioo generates a suggested decision path
View the Buy vs. Build Decision Path — Parallel Tracks, 4 Weeks →
Buy vs. Build — Parallel-Track Decision Path
Two Tracks. One Decision.
Clarioo runs the Buy analysis and Build analysis in parallel — different stakeholders, different AI agents, same deadline. Both tracks converge into a single, evidence-backed recommendation.
0
Scope & Align
1A
Buy Track
1B
Build Track
2
Compare & Converge
3
Decide
0
Scope & Align
3 days 2 hrs stakeholder time
Decision Owner
COO
Input Needed From
VP Product (requestor) VP Engineering (duplicate — rebuild proposal) Head of Fulfilment CFO (budget authority)
0.1
Confirm the real problem statement
Is this about replacing the OMS entirely, or fixing specific pain points? Merge with Engineering's prior rebuild proposal. Align on "replace" vs. "extend".
0.2
Define evaluation criteria for both tracks
Weighted scoring: fulfilment speed, error rate, scalability (10x), integration capability, time-to-value, total cost of ownership (3-year), team impact.
0.3
Confirm budget envelope & constraints
$750K earmarked for FY26 systems. ERP upgrade in Q3 is a hard dependency. Decision needed within 4 weeks to hit implementation window.
0.4
Assign track leads & launch parallel workstreams
Buy Track: VP Product + Procurement. Build Track: VP Engineering + CTO. Both report into COO with a shared evaluation framework.
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What Clarioo will do
Your decision analyst
  • 1Notify COO and all stakeholders, share structured request with full prior context
  • 2Merge Engineering's duplicate rebuild proposal — consolidate all evidence
  • 3Draft evaluation criteria and scoring framework for stakeholder review
  • 4Create two parallel decision channels and assign track leads
1A
Buy Track — Vendor Evaluation
2 weeks (parallel) 4-5 hrs stakeholder time 3 AI agents
Track Lead
VP Product
Contributors
Head of Fulfilment — operational requirements IT Lead — integration assessment Procurement — commercial terms Legal — contract review
AI Agents
Buying Analysis Agent — vendor evaluation matrix & in-depth analysis Integration Assessment Agent — API & data compatibility TCO Modelling Agent — 3-year cost projection
1A.1
Vendor Evaluation Matrix — public sources
Buying Analysis Agent scans public sources — G2, Gartner, vendor docs, case studies — and builds a Vendor Evaluation Matrix. OMS market: Manhattan Active, Brightpearl, Linnworks, Oracle OMS, Shopify Plus. Scored against weighted criteria. Shortlist top 3.
1A.2
In-depth Evaluation — customer-vendor calls
Schedule vendor demos and deep-dive calls with shortlisted vendors. Evaluators (VP Product, IT Lead, Head of Fulfilment) collaborate inside Clarioo to score each vendor on capability, fit, and risk. Buying Analysis Agent synthesises call notes into structured comparison.
1A.3
Integration feasibility assessment
AI agent maps each vendor's API surface to current stack: ERP, CRM, warehouse systems, payment gateway. Flag gaps and custom work needed.
1A.4
TCO modelling — Buy scenario (3-year)
License fees, implementation cost, integration effort, data migration, training, ongoing support, vendor lock-in risk. AI agent builds model with sensitivity analysis.
1A.5
Reference checks & commercial terms
Buying Analysis Agent identifies similar-scale deployments from public references. Procurement negotiates preliminary terms with top 2 vendors. Legal reviews contract templates.
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What Clarioo will do
Buy Track coordinator
  • 1Deploy Buying Analysis Agent to build Vendor Evaluation Matrix from public sources
  • 2Schedule vendor calls, distribute In-depth Evaluation templates to evaluators
  • 3Synthesise evaluator notes from customer-vendor calls into structured scoring
  • 4Run Integration Assessment Agent against each vendor's API surface
  • 5Generate Buy TCO model and compile evidence package with recommendation
1B
Build Track — In-House Assessment
2 weeks (parallel) 5-6 hrs stakeholder time 2 AI agents
Track Lead
VP Engineering
Contributors
CTO — architecture review & standards Senior Engineers (2) — technical feasibility Head of Fulfilment — operational requirements Data Engineering Lead — data pipeline design
AI Agents
Architecture Assessment Agent — design review & patterns Effort Estimation Agent — team capacity & timeline modelling
1B.1
Architecture assessment & technical design
Review Engineering's prior rebuild proposal. AI agent evaluates architecture patterns (microservices, event-driven). CTO validates against org standards.
1B.2
Engineering effort estimation
Break into workstreams: core OMS, API layer, warehouse integration, ERP sync, data pipeline, admin UI. AI agent models team capacity and delivery timeline.
1B.3
Team capacity & opportunity cost analysis
How many engineers needed? For how long? What gets deprioritised? Impact on product roadmap and other initiatives.
1B.4
TCO modelling — Build scenario (3-year)
Engineering salaries, infrastructure costs, ongoing maintenance burden, iteration velocity, technical debt risk. Include opportunity cost of delayed features.
1B.5
Build timeline & risk assessment
Realistic delivery estimate (best/likely/worst case). Key risks: scope creep, team attrition, ERP dependency, ongoing maintenance commitment.
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What Clarioo will do
Build Track coordinator
  • 1Deploy Architecture Assessment Agent to review prior proposal and suggest improvements
  • 2Run Effort Estimation Agent — model team capacity, timeline scenarios, and dependencies
  • 3Facilitate async architecture review with CTO and senior engineers
  • 4Generate Build TCO model with opportunity cost and risk-adjusted timeline
  • 5Compile Build Track evidence package with feasibility assessment
2
Compare & Converge
1 week 3 hrs stakeholder time AI-assisted comparison
Evaluators
COO — decision owner VP Product — Buy Track lead VP Engineering — Build Track lead CTO — architecture sign-off CFO — financial analysis
AI Agents & Analysts
Buying Analysis Agent — final Buy vs. Build comparison Risk Modelling Agent — scenario planning Financial Analyst Agent — TCO reconciliation
2.1
Side-by-side comparison matrix
Buying Analysis Agent merges the Vendor Evaluation Matrix and In-depth Evaluation results with Build Track findings. Buy (top vendor) vs. Build vs. Hybrid — scored against all weighted criteria from Phase 0.
2.2
TCO reconciliation (3-year, both tracks)
Financial Analyst Agent normalises both models. Include: direct costs, opportunity costs, risk-adjusted timeline costs, switching costs at year 3.
2.3
Risk comparison & scenario planning
Buy risks: vendor lock-in, customisation limits, migration. Build risks: timeline overrun, maintenance burden, team dependency. Risk Modelling Agent runs Monte Carlo on both.
2.4
Stakeholder scoring & preference alignment
Each evaluator scores both options independently. Clarioo surfaces areas of consensus and disagreement. Facilitates async discussion on contested points.
2.5
Recommendation brief
Clarioo produces final recommendation with clear rationale, minority views captured, conditions, and implementation plan for the recommended path.
C
What Clarioo will do
Convergence coordinator
  • 1Buying Analysis Agent merges Vendor Evaluation Matrix + In-depth Evaluation with Build Track evidence
  • 2Deploy Financial Analyst Agent to reconcile and normalise TCO models
  • 3Run Risk Modelling Agent — Monte Carlo simulation on both paths
  • 4Facilitate stakeholder scoring and surface consensus/disagreements
  • 5Produce recommendation brief with executive summary for decision meeting
3
Decision & Launch
2 days 1.5 hrs — decision meeting
Decision Makers
COO — final authority CFO — budget approval (>$500K) CEO — if core platform change
Present at Decision Meeting
VP Product — Buy Track findings VP Engineering — Build Track findings CTO — architecture recommendation Legal — contract readiness
3.1
Pre-read: recommendation brief distributed
All decision makers receive the full comparison, TCO models, risk analysis, stakeholder scores, and Clarioo's recommendation 48 hours before the meeting.
3.2
Decision meeting — Buy, Build, or Hybrid?
60-90 min focused session. Track leads present key findings. Discuss contested points. Decide: Buy (which vendor), Build (which architecture), Hybrid, or Defer.
3.3
Document decision, rationale & conditions
Capture: the decision, key factors, dissenting views, conditions (e.g. "Buy, but re-evaluate at year 2"), and immediate next actions.
3.4
Trigger implementation workstream
If Buy: initiate vendor contracting + implementation plan. If Build: kick off sprint planning + team allocation. Notify all stakeholders of the decision and next steps.
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What Clarioo will do
Decision finalisation
  • 1Distribute recommendation brief and pre-reads 48 hours before meeting
  • 2Schedule decision meeting with all required participants
  • 3Record decision, rationale, conditions, and dissenting views into decision memory
  • 4Trigger implementation workstream — notify all stakeholders, create project channels
  • 5Update all linked decisions (ERP upgrade, CRM migration) with OMS outcome
Confirm Decision Path & See It In Motion →
Buy vs. Build Decision — Now In Motion
Clarioo Drives Both Tracks
The parallel decision path is confirmed. Clarioo coordinates the Buy Track and Build Track simultaneously — engaging stakeholders, deploying AI agents, producing artifacts, and keeping both tracks on schedule.
Team Communication
Acme Corp
# oms-buy-vs-build 9 members
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Clarioo APP Mon 11:00 AM
Decision path confirmed: OMS Replacement — Buy vs. Build
I've set up this channel to coordinate the parallel evaluation. Two tracks running simultaneously:
Track 1A: Buy — Vendor Evaluation
Lead: VP Product. Market scan, vendor demos, integration assessment, TCO model. 2 weeks.
Track 1B: Build — In-House Assessment
Lead: VP Engineering. Architecture review, effort estimation, capacity analysis, TCO model. 2 weeks.
👍 5 ✅ 3
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Clarioo APP Mon 11:05 AM
Phase 0 — Scope & Align
I need a few inputs before we launch both tracks:
Data Request → Head of Fulfilment
Order volumes, error breakdown by type, fulfilment times, warehouse sync failures. Template attached.
Data Request → VP Engineering
Current OMS architecture docs, rebuild proposal from Q4, team capacity for next 2 quarters.
RK
Rachel Kim Mon 3:15 PM
Template filled. Last month: 4,200 orders, 487 errors (11.6%). Biggest pain: warehouse sync fails silently — we don't know an order is stuck until the customer complains. CSV upload is the bottleneck.
👀 4
Tuesday — Buying Analysis Agent begins work
🤖
Buying Analysis Agent AI AGENT Tue 8:30 AM
I've completed a draft Vendor Evaluation Matrix based on public sources (G2, Gartner, vendor docs, pricing pages). 12 vendors scored across 8 weighted criteria. @Sarah Chen — could you review the weighting before I finalize?
📄 ARTIFACT: Vendor Evaluation Matrix v0.1 (Draft)
12 vendors · 8 criteria (API quality, warehouse sync, scalability, TCO, implementation time, support, compliance, integration depth) · Weighted scoring · Data sources: G2 reviews, Gartner MQ, vendor documentation
👀 5
SC
Sarah Chen VP Product Tue 10:15 AM
Reviewed. Two changes: bump "warehouse sync" weighting from 15% to 25% — that's our #1 pain point. And add "multi-currency support" as a criterion, we're expanding to EU in Q3. Otherwise looks solid.
👍 3
🤖
Buying Analysis Agent AI AGENT Tue 11:02 AM
Updated. Warehouse sync now weighted at 25%, multi-currency added as 9th criterion. This changes the rankings — Brightpearl drops to #5 (no native multi-currency). Revised shortlist: Manhattan Active, Linnworks, Shipedge.
📄 ARTIFACT: Vendor Evaluation Matrix v1.0 (Final)
12 vendors · 9 weighted criteria · 3 shortlisted · Incorporates VP Product feedback · Submitted to decision record
✅ 4 🚀 2
Wednesday — Both tracks in full motion
🤖
Buying Analysis Agent AI AGENT Wed 9:00 AM
Moving to In-depth Evaluation. I've prepared vendor-specific question packs for the 3 shortlisted vendors and drafted a demo scoring rubric. @Sarah Chen @Rachel Kim — I've proposed call slots for next week. Can you confirm availability?
📄 ARTIFACT: Vendor Demo Scoring Rubric
Standardised rubric for evaluating vendor demos · 15 scored items across UX, integration, performance, support · Aligned to evaluation criteria
📄 ARTIFACT: Vendor Question Packs (3)
Tailored questions per vendor · Manhattan: ERP connector depth · Linnworks: multi-currency handling · Shipedge: warehouse sync architecture
RK
Rachel Kim Head of Fulfilment Wed 9:20 AM
Confirmed for all three. One ask — can we add a live test during the Manhattan demo? I want to see how it handles our edge case: split shipments across 2 warehouses with partial inventory. That's where our current system falls apart.
💯 3
🤖
Buying Analysis Agent AI AGENT Wed 9:25 AM
Added to all three demo agendas. I've also flagged this as a pass/fail criterion in the rubric — if a vendor can't handle split shipments across warehouses, they're disqualified. Updating the question packs now.
JT
James Torres VP Engineering Wed 2:30 PM
Build Track update: Shared the Q4 architecture proposal with the Architecture Assessment Agent. Initial estimate: 4 engineers, 6-8 months for core OMS + API layer. Big question — do we build the warehouse integration or use a middleware?
💬 2
Friday — Week 1 Summary
C
Clarioo APP Fri 9:00 AM
📊 Week 1 summary — both tracks on schedule
Buy Track: 3 artifacts produced, In-depth Evaluation starting
Buying Analysis Agent produced: Vendor Evaluation Matrix (v1.0, reviewed by VP Product), Demo Scoring Rubric, Vendor Question Packs. 3 vendors shortlisted. Customer-vendor calls booked. Integration Agent flagged: Manhattan has native ERP connector, Shipedge needs middleware.
Build Track: Architecture reviewed, effort model in progress
Effort Estimation Agent projects 6-9 months. CTO recommends event-driven architecture. Opportunity cost analysis pending — VP Eng to confirm roadmap impact.
ARTIFACTS CREATED THIS WEEK
✓ Vendor Evaluation Matrix v1.0 — Buying Analysis Agent · reviewed by Sarah Chen
✓ Vendor Demo Scoring Rubric — Buying Analysis Agent · includes Rachel Kim's criteria
✓ Vendor Question Packs (3) — Buying Analysis Agent · tailored per shortlisted vendor
✓ Architecture Assessment Report — Architecture Assessment Agent · under CTO review
○ Effort Estimation Model — Effort Estimation Agent · in progress
✅ 6 🙌 3
Message #oms-buy-vs-build
0
Scope & Align
Completed
✓Confirm problem statement & merge duplicate
✓Define evaluation criteria (weighted)
✓Confirm $750K budget & 4-week timeline
✓Assign track leads & launch parallel tracks
Completed in 3 days · 2 hrs stakeholder time
1A
Buy Track — Vendor Eval
In Progress — Day 5 of 14
✓Vendor Evaluation Matrix v1.0 (reviewed by VP Product)
✓Demo Scoring Rubric created (incl. fulfilment criteria)
✓Vendor Question Packs prepared (3 vendors)
●In-depth Evaluation — vendor demos next week
TCO model (Buy scenario)
Reference checks & commercial terms
Lead: VP Product · 3 artifacts produced · Buying Analysis Agent active
1B
Build Track — In-House Eval
In Progress — Day 5 of 14
✓Architecture Assessment Agent reviewed proposal
●Effort estimation in progress (6-9 months est.)
●CTO reviewing event-driven architecture
Opportunity cost analysis — awaiting VP Eng
TCO model (Build scenario)
Lead: VP Engineering · 1 of 5 steps done · 2 AI agents active
2
Compare & Converge
Starts Week 3
Side-by-side comparison matrix
TCO reconciliation (3-year, both paths)
Risk comparison & scenario planning
Stakeholder scoring & preference vote
Scheduled: Week 3 · 3 hrs stakeholder time · 3 AI agents
3
Decision & Launch
Starts Week 4
Distribute recommendation brief
Decision meeting — Buy, Build, or Hybrid?
Document decision & rationale
Trigger implementation workstream
Scheduled: Week 4 · 1.5 hr decision meeting · COO + CFO + CEO
6 artifacts · 4 completed · 2 in progress
Vendor Evaluation Matrix v1.0
Created by Buying Analysis Agent · Tue, Day 2 · Reviewed by Sarah Chen
12 vendors scored across 9 weighted criteria. 3 shortlisted: Manhattan Active, Linnworks, Shipedge. Incorporates VP Product feedback on warehouse sync weighting (25%) and multi-currency support.
Buy Track Phase 1A ✓ Final
Vendor Demo Scoring Rubric
Created by Buying Analysis Agent · Wed, Day 3 · Input from Rachel Kim
Standardised rubric with 15 scored items across UX, integration, performance, and support. Includes pass/fail criterion for split-shipment handling per Head of Fulfilment's requirement.
Buy Track Phase 1A ✓ Final
Vendor Question Packs (3)
Created by Buying Analysis Agent · Wed, Day 3
Tailored question sets for each shortlisted vendor. Manhattan: ERP connector depth, real-time sync. Linnworks: multi-currency handling, API limits. Shipedge: warehouse sync architecture, split shipment support.
Buy Track Phase 1A ✓ Final
Architecture Assessment Report
Created by Architecture Assessment Agent · Wed, Day 3 · Under CTO review
Review of Q4 rebuild proposal. Recommends event-driven architecture with microservices. Identifies 3 critical integration points. Flags warehouse sync as highest-risk custom component. CTO review pending.
Build Track Phase 1B ✓ Final
Effort & Cost Estimation Model
Created by Effort Estimation Agent · Thu, Day 4 · In progress
Preliminary model: 4 engineers, 6-9 months, core OMS + API layer. Includes capacity analysis, sprint breakdown, and risk-adjusted timeline. Awaiting VP Engineering confirmation on roadmap impact.
Build Track Phase 1B ● In Progress
Scope & Evaluation Criteria Brief
Created by Clarioo · Mon, Day 1 · Approved by all stakeholders
Defines the decision scope, problem statement, merged duplicate requests, weighted evaluation criteria, budget ($750K), timeline (4 weeks), and assigned track leads. Foundation document for both tracks.
Both Tracks Phase 0 ✓ Final

Two tracks. Eight AI agents. One coordinated decision.

Both Buy and Build paths are evaluated rigorously and in parallel. Every artifact is produced. Every stakeholder is engaged at the right moment.
Total stakeholder time so far: ~4 hours across 9 people. Clarioo and AI agents handle the rest.

See the Value Clarioo Creates →
Why This Matters
The Value Clarioo Creates
Every decision that flows through Clarioo is faster, grounded in evidence, and frees people to focus on what only humans can do — judgment.
3 hrs
Total stakeholder time
for a structured decision
80%
Less time spent
coordinating & chasing
100%
Evidence-backed
decision trail
0
Decisions lost in
Slack threads & inboxes
Value for Every Decision
Better decisions, made faster
Faster time-to-decision
Weeks of back-and-forth compressed into a structured, parallel process. No more stalled decisions waiting for someone to coordinate the next step.
Evidence over opinion
Every recommendation is grounded in data, stakeholder input, and cross-functional context — not the loudest voice in the room.
People focus on judgment, not logistics
Stakeholders spend their time reviewing evidence and making calls — not scheduling meetings, chasing inputs, or writing status updates.
Full decision trail, always
Every input, artifact, and rationale is captured automatically. No more reconstructing "why did we decide that?" six months later.
Value for the Organisation
Intelligence that compounds over time
Decision graphs built over time
Every decision connects to others — forming a living graph of what the organisation has decided, why, and what depends on what. Context that no document can replace.
Organisational intelligence compounds
Clarioo learns patterns across decisions — recurring blockers, stakeholder dynamics, vendor track records. The 100th decision is dramatically better informed than the first.
Context for people and agent execution
When agents or new team members need to act, Clarioo provides the full decision context — not just what was decided, but the reasoning, constraints, and stakeholder intent behind it.
Decisions become a strategic asset
Instead of decisions disappearing into Slack and email, they become searchable, auditable, and connected — a real-time map of how the organisation thinks and acts.

From chaos to clarity — at enterprise scale

Clarioo doesn't just help you make one better decision. It builds the infrastructure for every decision that follows — so your organisation gets smarter, faster, with every choice it makes.