A brief
The investment team describes the recurring result it wants. Altitude scopes the workflow, sources, review points and operating requirements before building it.
New York equity hedge fund · $1bn–$5bn AUM · 25–50 staff
The investment team wanted the agents. It did not want a second job maintaining them.
Altitude 7 turns agent briefs, proofs of concept and existing tools into secure, monitored services—then maintains and improves them while the team focuses on investing.
The service
Build. Maintain. Monitor. Optimize.
One managed path from an idea or prototype to a dependable agent used across the firm.
- Earnings preview preparation
- <2 min
- From report to initial comparison
- ~2.5 min
- News articles processed per run
- 100,000+
- To personalized firm-wide delivery
- ~30 min
The fund did not lack ideas for useful agents. Some needs arrived as a short brief. Some had reached proof-of-concept stage. Others were already doing part of the job but depended on the person who built them.
That dependency became visible when the CIO needed an analyst-built agent while the analyst was on a plane. The question was simple: how could someone else run it? The answer required centralized deployment, controlled access, versioning, evaluations, tracing and a team responsible when something changed or failed.
Altitude became that team. The engagement now supports live earnings and news services across the firm while providing the operating route for the next agent the investment team wants to use.
The operating model
An agent can start anywhere. The route to dependable operation stays consistent.
The visible output sits on top of deployment, controls, evaluations, monitoring and a release process that keeps the service usable when models, sources or requirements change.
Managed-agent operating model
Any starting point · one controlled route to live service
Model agnosticEvaluation gatedMonitored live
Starting point
Bring us the workflow in the form you have it
Brief
A recurring outcome the desk wants
Prototype
A promising proof of concept
Existing agent
Useful, but not centrally operated
Altitude operating layer
Build, maintain, monitor and optimize
01
Build & deploy
Scope, architecture, access and controlled hosting
02
Version & trace
Repeatable releases and a record of each run
03
Evaluate & optimize
Quality gates, model tests and token efficiency
04
Monitor & maintain
Alerts, incident response and requested changes
Continuous control loop
RUN → TRACE → EVALUATE → IMPROVE → RELEASE
Live service 01
Firm-wide earnings cycle
−7 days
Prepare
Internal notes, desk research and Street context
−1 day
Refresh
Latest expectations and questions to watch
+2.5 min
Compare
Reported result vs internal and Street expectations
+7 days
Review
Updated consensus and analyst conclusions
Live service 02
Personalized firm-wide news
100K+
articles processed
30+ hrs
manual analyst time
Each user
relevant coverage
Meet the work where it is
A managed service can begin before anyone has written code.
The team does not need to arrive with finished software. The starting artifact determines the first step, while the operating standard remains the same.
A proof of concept
A promising experiment has shown the value. Altitude adds the deployment, controls, evaluations and monitoring required for wider use.
A partly deployed agent
The agent already performs useful work. Altitude centralizes it, puts it under version control and makes it dependable when its original builder is unavailable.
What sits behind the output
The service includes the work a demonstration leaves out.
✓
Workflow discovery, scoping and architecture
✓
Secure centralized deployment and permissions
✓
Version control and controlled releases
✓
Tracing across agent steps and model calls
✓
Quality evaluations and regression checks
✓
Token and operating-cost optimization
✓
Live monitoring, alerts and incident response
✓
Model comparisons without provider lock-in
✓
Ongoing changes as desk requirements evolve
When the desk wants a small change, it asks Altitude. The workflow is updated, tested and released without making an analyst responsible for preserving the system around it.
Live service one
An earnings agent that follows the full event, not just the report.
The agent serves the whole firm and carries the same research context from preparation through the later review.
Seven days before
Build the preparation view
Bring together the relevant internal notes, earlier desk research, external material, prior earnings information and expectations that frame the coming result.
One day before
Refresh the setup
Update the evidence, Street expectations and questions to watch so the analyst enters the event with the current picture rather than a stale brief.
About 2.5 minutes after
Compare the result
Set what the company reported against the firm's internal notes and prior work, as well as what the Street expected, while the event is still unfolding.
About seven days after
Complete the review
Incorporate updated consensus, subsequent research and the firm's analyst conclusions into a fuller record of what changed and why it matters.
<2 minutes
To prepare an earnings preview
35+ minutes
Previous analyst preparation time
~2.5 minutes
From reported result to initial comparison in an observed run
Live service two
More than 100,000 articles become relevant news for each person.
The firm-wide news agent processes more than 100,000 articles and emails each person the developments relevant to the companies and tickers they follow.
Covering the same volume manually would require more than 30 combined analyst-hours each day, if the team could review it all. The managed agent completes the processing and prepares the personalized delivery in approximately 30 minutes.
The internal selection and ranking method remains proprietary. The user experience is deliberately simple: relevant developments arrive without requiring each person to repeatedly search sources or review the same broad feed.
Altitude operates the schedules, source connections, individualized coverage, tracing, evaluations, delivery and alerts. Coverage or presentation changes are made and tested within the managed service.
Operate through change
The workflow stays stable while the technology underneath it improves.
A production agent has an operating life. Sources fail, delivery routes block messages, requirements change and model releases alter quality, speed and price. Tracing shows what happened. Monitoring identifies where the run failed. Evaluations test whether a change improved the output or introduced a regression.
The agents are model agnostic. Alternative models can be compared against the same task and evaluation standard, then changed when quality, latency or cost justify it. The firm does not have to rebuild the user workflow around one provider.
Token optimization follows the same discipline. Larger models are used where they add value, repeated context is reduced and deterministic checks replace model calls where judgment is unnecessary. Material changes pass through evaluations before release.
What changed for the fund
Analysts receive the result. Altitude looks after the agent that produces it.
The earnings agent now supports the firm before, during and after company reports. The news agent delivers relevant coverage across the organization.
The next agent can begin as a business brief, an experiment or an existing tool without leaving its original builder responsible for firm-wide operation.
Centralized deployment, access controls, versioning, tracing, evaluations, monitoring and optimization sit around the live workflows.
The investment team can concentrate on research and judgment while Altitude handles the engineering and operating work required to keep the services dependable.
The service behind this work
Managed AI Agents
Agent scoping, building, evaluation, deployment, monitoring and ongoing operation across research and operations.
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Do you have an agent people value but no one wants to maintain?
Bring the brief, prototype or existing workflow. We can build it, operate it and keep it useful as the firm's needs and the underlying models change.