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Your agents are only as good as what 
they know about your work

Most enterprise AI agents are built on SOPs — descriptions of how work is supposed to happen. Scout observes how work actually happens, then turns that into the context your agents need to perform
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Deployed across healthcare, 
financial services & operations 
+30 percentage points
over best-practice SOP
8 enterprise
deployments  
82% agent pass rate after calibration

80%

Probability of your agent working - up from 20-25% without observed context

4-6 weeks

to first agent blueprint

63%

Cycle time reduction — Healthcare deployment

1,890h

Annual hours recovered — Financial services

THE CONTEXT GAP

Agents fail when they’re built on the wrong story

The typical enterprise agent deployment starts with a Standard Operating Procedure. That document describes one ideal path. In practice, your team executes the same process in 4 to 10 different ways depending on the case, the system, the exception, and the workaround built three years ago because the integration never got finished. The agent doesn’t know about any of that.
“After eight enterprise deployments, we’ve found that model quality is the third most important factor in agent performance. Context quality is first.”

40–45%

of actual work happens in applications that appear in no process documentation

4–10

execution variants exist for every process your SOP describes as one

40–60%

gap between self-reported time estimates and observed reality

HOW SCOUT WORKS

Observation before automation

Scout captures desktop interaction data: application switches, clipboard events, screen navigation in legacy systems — and constructs a work graph from what it sees.
application switches
clipboard events
screen navigation
The working memory a two-year employee builds through repetition, captured in weeks and made available to your agents before they act.
Frame 10978

WHAT OTHERS MISS

Process intelligence tells you a session happened, but Scout tells you what happened inside it

Traditional process mining logs that a user had an SAP session timings. whereas Scout captures the number of toggles, copy-paste events, effort spent in individual spreadsheet trackers. All of it invisible to system logs but captured by Scout.
  • Process Mining

SAP session, 9:14–10:37am

1 documented process path

Transactional time logged

No record of legacy system navigation

System events and session timestamps

  • Scout

14 Excel switches, 23 copy-paste events, 18 min in undocumented tracker

12 execution variants of the process path

Actual cost to serve, including shadow tooling

489 navigation events, full 25-screen sequence reconstructed

Every interaction inside the session, the layer system logs never reach

FOUR FAILURE MODES YOUR AGENTS HIT TODAY

WRONG-VARIANT

The agent proceeds down one execution path without knowing others exist. On the 11 variants it didn’t choose, it fails or produces output for the wrong scenario. 27 occurrences in our Tier 0 benchmark. Zero in Tier 2.

WRONG-ENTITY

Customer ID 92570, Ticker Reference 1083602585, and Work Item ID 9287181 are the same case across five systems. The co-occurrence relationship exists nowhere except in the observed behavior of people doing the work.

NAVIGATION-BLIND

The agent reaches a legacy system and halts, or invents plausible-but-wrong navigation instructions. The screen sequence your analysts know by muscle memory lives nowhere else — until Scout captures it.

CONTEXT-STALE

The agent describes the documented process. The team moved on years ago. 43.7% of actual work happens in applications that appear in no SOP. The agent is flying a 2019 map through 2026 terrain.

THE EVIDENCE

Same model. Same tasks. Three different contexts

We ran a controlled benchmark across 27 tasks and 9 workflows. The only variable was what context the agent received before acting.
Think of it as onboarding three employees to the same job: one gets a login, one gets the SOP, one gets four weeks of data showing exactly how your most experienced analyst actually does the work
Tier Context received Score Pass Rate
Tier 0 Credentials Only - Baseline 12.1% 0%
Tier 1 Standard Operating Procedure 58.9% ~40%
Tier 2 Full Scout work graph 89.2% 82%
Variant ID
Baseline
8%
SOP
38%
Scout
88%
Entity resolution
Baseline
10%
SOP
43%
Scout
92%
Legacy navigation
Baseline
7%
SOP
35%
Scout
95%
Task completion
Baseline
12%
SOP
57%
Scout
90%

Scout context advantage:

+77 pp

percentage points 
over baseline

+30 pp

percentage points overbest-practice SOP documentation

Real Deployments

Same model. Same tasks. Three different contexts

HEALTHCARE OPERATIONS

Provider Network: 113 person operations team

Processing physician data changes across contracts, credentialing records, and network databases. Structured on paper. Fragmented in reality.

Scout telemetry ran for seven weeks. The first finding: 76.2% of all observed effort — 987.7 hours out of 1,295 total — sat inside a single SOP step called “Research,” described in four bullet points.
Research spanned 11 applications, including a legacy mainframe navigated across 25 screens with no REST API. Scout captured 489 navigation interactions and reconstructed the complete path. Five agents were built from the work graph.
Consumer health customer case study healthcare illustration 3

63%

Reduction in cycle time

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