The Context Graph
The map of how your company really runs. The foundation every AI initiative needs.
Most enterprise AI stalls because the system has no understanding of how your company really operates. Horizon builds that understanding in days through census-scale employee conversations and your existing data, then keeps it current as you change.
The Problem
The most valuable knowledge in your company isn't written down anywhere.
Your ERPs, ticketing systems, and process maps capture what happened. They don't capture why. The judgment a CFO used to approve one vendor over another. The workaround three teams built because the documented process doesn't match reality. The one approval, off-org-chart, that quietly moves everything.
This is the layer your last consulting engagement tried to capture in 12 weeks of interviews and a 200-slide deck. It was outdated the day it landed.
Horizon builds it in days. AI interviewers talk to every employee, in their own language, alongside the data you already have. The result is a working understanding of how your organization runs, ready for any AI, agent, or transformation initiative to build on.
The dusty deck dies. The Context Graph compounds.
The AI Transformation Stack
Measured AI ROI
Change Management & Adoption
AI Infrastructure & Shared Skills
Context Graph
Your organizational understanding
Skip the foundation and the cherry on top never arrives.
What Is a Context Graph
A working model of how your company runs
Continuously updated. Built from every employee, every system, every process. Ready for every AI you deploy on top of it.
How work flows
The real sequences and handoffs across every team. Not the documented version. The one that ships product on Friday.
How decisions get made
Reasoning, tradeoffs, and the judgment behind outcomes that leave no audit trail anywhere else.
Who really has authority
The informal map of who signs, who influences, who unblocks. The one new hires learn in their first six months.
How it all changes
Updates as people, processes, and tools shift. No re-engagement to refresh.
Three layers. Most companies capture one.
Event Layer
What happened: tasks, handoffs, outputs
Captured in process maps, tickets, logs
Decision Layer
Why it happened: reasoning, tradeoffs, judgment
Nowhere else
Behavioral Layer
How people work in practice: patterns, workarounds, informal authority
Nowhere else
A process map shows the documented flow. A wiki shows what people wrote down. A Context Graph captures the two layers no other system has touched.
What It Unlocks
From map to action. In the same platform.
Find the highest-ROI workflows to automate
Pinpoint the workflows and decision points where AI returns the most. Evidence from across every team, not a sample. Average opportunity value: $106,500.
Roll out shared AI skills where they land
Lightweight, reusable AI capabilities deployed where the Context Graph says people will adopt them, not where a vendor says they should fit.
Drive adoption with coaching that knows the work
Horizon's Superconsultant coaches your people on AI using the same context it captured from them. The platform that maps your organization is the one that gets it to use AI.
Why Now
Agents are about to run your workflows. Give them the context to do it right.
Every agent you deploy will follow the process it was given: the documented version. Not the version with the workaround your team built. Not the version where one person's approval is the one that actually moves things. Not the reasoning behind the exception made last quarter.
Without decision traces, agents hallucinate, confidently doing work the wrong way. Gartner forecasts 40% of agentic AI projects will be canceled by 2027, mostly due to insufficient business context.
The Context Graph is what separates agents that perform from agents that create incidents.
Agent Activity
Mapped approval chain for vendor onboarding
0.3sUndocumented exception detected in quarter-close
1.1sDecision trace captured: CFO override pattern
1.4sBehavioral layer updated: 14 workarounds indexed
2.0sHallucination risk flagged: missing IT context
2.6sContext Graph sync complete: 847 nodes updated
3.1sSurfaced informal authority node in operations
3.7sWorkflow drift detected in claims handoff
4.2sNew process variant indexed from 22 interviews
4.8sMapped approval chain for vendor onboarding
0.3sUndocumented exception detected in quarter-close
1.1sDecision trace captured: CFO override pattern
1.4sBehavioral layer updated: 14 workarounds indexed
2.0sHallucination risk flagged: missing IT context
2.6sContext Graph sync complete: 847 nodes updated
3.1sSurfaced informal authority node in operations
3.7sWorkflow drift detected in claims handoff
4.2sNew process variant indexed from 22 interviews
4.8s
A New Approach
Consulting wasn't built for an AI-native company.
The consulting playbook
AS-IS to TO-BE to Change Management
Samples 10 to 20 stakeholders, misses the full picture
Static snapshot, outdated on the day it lands
Change management bolted on at the end
Ends with a deck, not a running loop
The Horizon model
Continuous, full-depth, embedded
Every employee, every role, every team. Not 20 interview samples.
A graph that updates as your work, your people, and your AI stack evolve. No re-engagement to refresh.
Change management embedded from day one. AI agents coach adoption in the flow of work.
One continuous loop from discovery to tracked outcomes. The deck is a byproduct, not the deliverable.
How We Build It
Find. Prioritize. Deliver.
Built by Horizon's Superconsultant, working alongside your team.
Step 01
Find
AI interviewers talk to every employee, across every role, in their own language. Horizon also ingests P&L, ERPs, CRMs, SOPs, and job descriptions. Census scale, not samples, at 90x the speed of traditional discovery.
Step 02
Prioritize
Everything organizes into your Context Graph. Horizon's Superconsultant works side by side with your team to co-design prioritization matrices, evidence-backed business cases, and structured roadmaps that earn buy-in on the first pass.
Step 03
Deliver
Turn alignment into action: stakeholder decks, structured RFPs, AS-IS and TO-BE process maps, PRDs, backlog items. Results get tracked. Then the cycle runs again, on a monthly cadence, because your organization keeps evolving and so does your Context Graph.
On a monthly cadence, indefinitely. Every cycle, the Context Graph gets richer and the next initiative gets easier to pick.
Outcomes
Adoption that compounds. Numbers that show up on the P&L.
With the Context Graph in place, every AI initiative builds on the last. Discovery doesn't restart. Adoption doesn't restart. The next opportunity is already on the list.
average value per opportunity surfaced
faster than traditional consulting discovery
measured KPI improvement
Get Started
See your Context Graph in 30 minutes.
A short working session with our team. We'll show you what the Context Graph looks like for a company your size, walk through MercadoLibre, SURA, and dLocal deployments, and scope what your first cycle would surface.