Agentic Operations.
Stewardship for what we ship.
Keep agents dependable in production — across People, Knowledge, and Agent Health. The same team that built it keeps it running.
The agentic era has three new operational dimensions —
and traditional ops sees none of them.
Infrastructure health: solved. Model serving: solved. The three new dimensions are where production agents actually fail — and where the operating model has to catch up.
Role evolution + adoption engineering.
As agents take on workflow steps, the humans around them need new accountability surfaces — who reviews, who escalates, who measures, who retires a failing agent. Most adoption programmes treat people-side change as a comms event. Stewardship treats it as continuous.
Currency · drift · model migration.
RAG and KAG knowledge bases calibrated six months ago are no longer current today. Documents shift. Concepts drift. Foundation models upgrade and break old prompt patterns. Knowledge stewardship treats currency as an operational concern, not an ad-hoc cleanup.
Behavioural drift + continuous calibration.
The silent failure mode of agentic systems — agents continue to respond, but their judgment quality decays. APM sees response codes; behavioural drift is observable only in agent output quality on tasks where ground truth exists.
Three dimensions. Continuously calibrated. Or three blind spots.
MLOps, LLMOps, and APM are real —
and not enough.
The disciplines that got us here were built for a different category of failure. AgentOps is the emerging industry category for the work they don't cover.
- 01
APM watches CPU, latency, and HTTP codes.
It cannot see whether the agent's reasoning trajectory was correct, whether the wrong tool was called, or whether judgment quality drifted. The 200-response is not the answer.
- 02
MLOps optimised the model lifecycle.
Training, validation, deployment, retraining. Agentic systems compose models with tools, memory, and human review — the failure surface is no longer a single model's accuracy.
- 03
LLMOps brought prompt management and serving discipline.
Necessary; insufficient. Agentic systems run as workflows over time — the gap is the trajectory, not the prompt.
- 04
AgentOps names the missing layer.
Agent trajectory tracing, tool-use logging, behavioural drift detection, knowledge currency, cost attribution, and human-in-loop reviewer ergonomics. The category is still consolidating; vendor definitions vary.
AgentOps tells you what the missing operational layer covers. Agentic Stewardship is how we deliver on it.
Agentic Stewardship —
ASTRA's practice within AgentOps.
Three new operational dimensions surround every agent in production. Stewardship keeps them in calibration — not by exception, but by default.
- People
Role evolution. Adoption engineering.
The accountability surfaces around every agent.
- Knowledge
Currency · concept drift · LLM-upgrade migration.
The substrate every agent reasons over.
- Agent Health
Behavioural drift detection · continuous calibration.
The signal that judgment quality has decayed.
This is the work AgentOps points at — and the three dimensions ASTRA's Agentic Stewardship practice operates across.
The playbook.
And the two ways to run it.
The same stewardship playbook runs whether ASTRA operates the agents on your behalf or whether we equip your engineers to do it.
The stewardship playbook
- 01
24/7 production monitoring + incident response
The baseline: trajectory tracing, anomaly detection, tool-call audit, escalation paths. Calibrated for agent failure modes, not just infrastructure events.
- 02
Continuous evaluation + regression + drift detection
Eval harnesses calibrated against ground-truth tasks. Regression suites that run on every release and every model upgrade. Behavioural drift detection over time.
- 03
Iterative tuning
Adjusting prompts, topology, retrieval thresholds, tool sets, and reviewer gates as the system, the data, and the foundation models evolve.
- 04
Governance + audit reporting
Audit trails as a default property of every request. Identity, policy, and cost attributed per agent and per purpose. Reporting calibrated for the client's risk function.
- 05
Roadmap-aligned enhancement releases
Stewardship is not steady-state — the system grows. New tools, new agents, new integration points, on a cadence aligned with the client's roadmap.
The dual delivery mode
Managed service.
ASTRA's team operates the stewardship loop on your behalf. Same Slack, same team, same SLA — the engineers who built the system are the ones running it. Backed by AIFT's 60+ engineer research bench.
Skill transfer.
Same playbook. Same tooling. Same R&D bench behind the curriculum. Skill transfer through structured pairing, runbook hand-off, eval-harness training, and supervised practice — until your team owns the operation outright.
Same playbook. Same tooling. Your choice on ownership.
The “ASTRA trains your engineers” pathway is delivered as a structured engagement — scope, duration, and cohort sized per client. Productisation is ongoing; speak with us about current readiness.
Continuous calibration is the new uptime.
Traditional ops measures uptime against an SLA. Stewardship operates against a calibration loop — Observe, Diagnose, Calibrate, Reinforce — that runs in cycle, not on incident.
- 01 · OBSERVE
Trajectory tracing. Tool-call audit. Knowledge-base freshness signals. Adoption telemetry. Continuous, not on-trigger.
- 02 · DIAGNOSE
Differentiate behavioural drift from infrastructure incident from concept shift from role-change feedback. Each dimension has its own diagnostic vocabulary.
- 03 · CALIBRATE
Adjust prompts, retrieval thresholds, eval baselines, reviewer gates. Retire what's drifted. Refresh what's stale.
- 04 · REINFORCE
Update runbooks. Brief reviewers. Re-train the human team. Lock the next baseline. Then back to Observe.
What it delivers
- 01
Behavioural drift detected before it becomes a customer-visible failure.
- 02
Knowledge bases that stay current as your business evolves.
- 03
A workforce that adapts as agents take on more — accountability, not anxiety.
- 04
An audit trail and cost attribution that satisfies the risk function by default.
The lifecycle is the system. Run it. Or learn to run it. We deliver both.
Stewardship is engineering.
Engineering needs a research bench.
ASTRA is a spin-off of AIFT — the Laboratory for AI-Powered Financial Technologies. Co-founded by City University of Hong Kong, Columbia University, and Tsinghua University. The only FinTech research laboratory recognised by InnoHK, the Hong Kong SAR Government's flagship innovation initiative. Headquartered at Hong Kong Science Park. A 60+ engineer research bench sits behind ASTRA's stewardship operators — across the work that AgentOps as a category is still consolidating around.
- 01
Behavioural drift + evaluation research.
Eval methodology, regression discipline, and drift detection research live in the AIFT bench. The category is still consolidating in industry; we operate against research that anticipates where it lands.
- 02
60+ engineer R&D bench.
When stewardship needs research-grade muscle — a new eval harness, a multi-model governance pattern, a knowledge-graph migration — it's there. Architecture decisions in your engagement go through senior operators with direct bench access.
- 03
The InnoHK FinTech lab.
AIFT is the only FinTech research laboratory recognised by InnoHK — Hong Kong SAR Government's flagship innovation programme. Co-founded by City University of Hong Kong, Columbia University, and Tsinghua University. Operates from Hong Kong Science Park.
This is the AgentOps research lineage ASTRA brings into your operations — not as a sales claim, but as the substrate that makes the stewardship loop credible.
Choose your mode
Start a conversation.
Two delivery modes. Same playbook. Same research bench. The first call maps which mode fits — no slides, no pitch.
Operate team