AI observability for teams running agents they can't see inside
Tracing, evaluation, cost and quality dashboards for LLM apps and agents, so you can see what they did, what it cost and when something went wrong.
Does this sound like your team?
“Agents fail in production and nobody can tell why”
“Your model bill grows faster than usage”
“Prompt changes break things you only find out about from customers”
“Leadership asks if the AI is working and you have no numbers”
What you get with LLMOps & MLOps
- Tracing of every agent step and tool call
- Evaluation suites and regression tests for prompts
- Cost per run and per customer dashboards
- Quality and latency monitoring
- Agent registry and versioning
- Alerts and incident runbooks
- Governance: approvals, access and audit logs
AI Agent Monitoring Checklist
What to trace, alert on and report monthly once agents are in production.
Phases, timelines and what you receive
Assess
Current-state review of systems, costs and risks
Instrument
Tracing, evaluation, monitoring and cost dashboards
Harden
Pipelines, guardrails, alerts and runbooks
Operate
Monitoring, incident response and reports
What we measure before Go / Adjust / Stop
Every phase ends with a decision based on numbers agreed at the start.
Coverage
every production agent is traced
Regression
prompt and model changes pass evals before release
Cost
spend per run is tracked and budgeted
Response
alerts reach a person who can act
Get a plan for LLMOps & MLOps
A few fields, no sales script. We reply within 1 business day with next steps.
Where we've done this before
Agent ops from prototype to production
An operations console to register, run, monitor and govern fleets of AI agents
AI call screening on web + mobile
An AI phone assistant that screens calls and messages across web and mobile
Senior people, named roles
Lead AI / Platform Engineer
Observability, evaluation and governance.
DevOps Engineer
Cloud, Kubernetes and CI/CD.
What we build with
Industries we deliver this for
Start small, with a clear decision point
Most AI work starts with a workshop or a 4-6 week pilot.
Who this is not for, and what we won't do
- We don't add dashboards nobody owns
- We don't ship prompt changes without a regression run
What clients say
“Working with the Bit & Bytes team on our CRM data automation project was an excellent experience. The team understood our requirements clearly, transformed complex email data into meaningful insights, and delivered a reliable backend solution that significantly improved our workflow.”
“Bit&Bytes Team quickly understood our goals on SEO assistant project and implemented complex machine learning features with precision. there communication were clear, delivery was timely, and the overall collaboration was smooth and efficient. We're very satisfied with the results and would definitely work with them again.”
“We collaborated with Bit&Bytes team on the development of YourList, our real estate and investment networking platform. From the very beginning, they demonstrated a deep understanding of both the technical stack and the business vision behind the product. They helped us shape the MVP, ensuring smooth integration between backend and frontend. Throughout the process, they were proactive, detail-oriented, and always committed to delivering on time. Working with them seamless and highly productive, they truly went above and beyond to make the project a success.”
Frequently asked questions
Straight answers on cost, timelines, ownership and data.
The practices and tools for running LLM apps in production: monitoring, evaluation, cost control, versioning and incident response.
Yes. We instrument common agent frameworks and export to your observability tools.
Gartner expects over 40% of agentic AI projects to be cancelled by 2027 due to cost, unclear value or weak risk controls. Observability is how you avoid becoming one of them.
Ready to talk about LLMOps & MLOps?
Book a short call with a senior engineer. No pitch deck, just a clear next step.
- We reply within 1 business day.
- NDA available on request
- You own all code from day one