Unlocking Haven
Agent Operations Intelligence · for Support

Every agent.
The same standard.

Whether they're human, AI, or both, Haven reads every interaction in your operation against the standard you set. In real time.

Start the diagnostic

5 minutes. Free. A reading across all seven functions, in your inbox today. No call, no demo, no sales follow-up.

// Human or AI · One standard · One outcome

Today most operators have a standard for their humans and a default for their AI. Haven reads every interaction against one standard, drafts the response when it slips, and surfaces what's pending your call.

Human-handled 91% pass · 38% vol
Ollie Jackson Paulie Mazlo Walter Maeve Ollie Jackson Paulie Mazlo Walter Maeve Ollie Jackson Paulie Mazlo Walter Maeve Ollie Jackson Paulie Mazlo Walter Maeve
Outcome CSAT 4.6 94% on first contact · 7d
AI-handled 87% pass · 62% vol
AI AI AI AI AI AI AI AI AI AI AI AI AI AI AI AI AI AI AI AI AI AI AI AI AI AI AI AI AI AI AI AI AI AI AI AI
Drafts queue
Streaming live 22 drafts in last hour · 9 pending you
13:38
Mazlo skipped the empathy beat on a billing escalation. Coach: lead with acknowledgment
Pending
13:24
AI cluster #4847 trending terse on refund denials. Macro v2: add empathetic opener
Pending
13:12
Walter's tone shifted clinical mid-escalation. Calibration: flag for next session
Reviewed
12:58
AI cluster #4801 slow on refund replies. Coach: prioritize refund queue
Reviewed
12:42
Maeve slow on account questions. Coach: prioritize account queue
Pending
12:18
AI cluster #4789 missing greeting on first-touch tickets. Macro v1: add greeting template
Applied
Below: how that read looks, hour by hour.
// Live read · Humans + AI · Against one standard

Most operations watch their humans on a weekly QA sample and let their AI run blind. Below: a continuous read of both, against the same standard.

READOUT 2026-04-25 · 14:32 GMT
LIVE
LIVE READ · 7 FUNCTIONS
The operation, right now.
STREAMING
LAST EVENT · 14:32:07
1,847
INTERACTIONS_READ
↑ 12% · 7-DAY
23
FLAGGED_AGAINST_STANDARD
FLAG_RATE = 1.2%
6
COACHING_MOMENTS
SURFACED · 4 AGENTS
Flagged AI cluster #4847 (refund replies) drifted from rubric. Terse on 19% of last 200 closes. Enable
Coaching APAC shift escalations colder than baseline. Two agents, both shifts, same language pattern. Perform
Pattern Refunds up 31% since Tuesday's dispatch delay. ~€12k in exposure if the trend holds another five days. Know
LIVE SUMMARY 6 functions holding. 1 needs attention. Refund rubric needs an empathetic opener.
The seven functions
// THE OPERATING MODEL 07 FUNCTIONS · 1 OPERATION

Seven functions.
One operation.

The operating model that turns scattered work into one operation, humans and AI.

  1. 01 Perform Humans Coaching at the moment of slip, not the next QA cycle. AI Drift surfaced at the cluster level, not after the season.
  2. 02 Build Humans Workflows, tooling, decision trees. AI Cluster definitions, routing rules, fallback paths.
  3. 03 Enable Humans What they learn. Onboarding, calibration, knowledge. AI What it's told. Macros, prompts, rubric updates.
  4. 04 Measure Humans Per agent, per shift, per rubric line. AI Per cluster, per intent, per rubric line.
  5. 05 Improve Humans Coaching loops, retrospectives, calibration sessions. AI Drift correction, recalibration, capability tuning.
  6. 06 Know Humans Playbooks, case patterns, what the team knows. AI Training corpus, RAG sources, what the AI is given.
  7. 07 Grow Humans Hiring, onboarding, career progression. AI Cluster scope, intent expansion, capability growth.
// EVERY HAVEN DRAFT SAME SHAPE · ANY AGENT

Every agent. Same shape.

Coaching note for a human, macro update for an AI cluster, calibration flag for a session. Every draft Haven produces follows the same four moves.

Every Haven draft For every agent · human or AI
Pending
Coaching note Macro update Calibration flag

The intervention Haven writes, calibrated to this agent and this signal. Visible here in full before anything ships.

Send Edit Dismiss
F1 Perform
F2 Build
F3 Enable
F4 Measure
F5 Improve
F6 Know
F7 Grow
CSAT
Escalations
Repeat-contact
Resolution time
Verifies on a defined event count, over a defined window.
// How Haven thinks · One mechanic, humans and AI

The mechanic behind every read.

01 Methodology constrains.

A directed graph of how operations behave. About 50 structural relationships across the seven functions.

02 LLM reasons.

Walks the graph, reads the data, drafts the response that fits the situation.

03 Data validates.

Your operation, replacing generic priors with calibrated ones as it runs.

Read the full method

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A live read of how your agent operation runs, humans and AI, across all seven functions. In your inbox today. 5 minutes. Free. No follow-up.

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Last updated · 28 April 2026 · v1.1