Noxs AI is a delivery assistant for IT teams

We maximize the efficiency of our teams by delegating routine tasks to our product – Noxs AI assistant, and freeing up valuable time for strategic work.

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Why teams use Noxs.ai?

High-performing teams don’t just ship features – they manage product knowledge, processes, and risk so they can focus on what actually moves the business. As products grow, work gets scattered across tools, routines slip, and important context stays in people’s heads, not in the system.

Noxs connects to the tools your team already uses, builds a living picture of your product and workflows, and works inside your existing channels. Using this context, it spots weak points – bottlenecks, gaps in ownership, process breaks, growing tech debt – and surfaces them to the right people at the right time. Routine checks, follow-ups, and process enforcement run on autopilot, so the team spends less time on coordination and more time talking to customers, shaping the roadmap, and building a product that earns more for the business.

Capabilities

Historical Insights

Compares sprints to surface trends in velocity, resourcing, and delivery quality – useful for forecasting and retros.

Sprint Pulse & KPIs

Live view of sprint health: progress, team load, scope changes, and trendlines – throughout the sprint, not just at the end.

Efficiency & Planning

Uses historical performance to inform planning and keep delivery on track across cycles.

Smart Search & Answers

Ask one question and find tasks, docs, google drive, chats, or code across Jira, Confluence, Slack, and Git – including relationships (e.g., “what blocks Release 2.13?”).

Blocker & Tech‑Debt Detection

Flags unassigned or overdue work, stuck reviews, and debt hotspots; can escalate and suggest fixes based on your practices.

Manager Assistant

Automates reminders, status updates, meeting recaps, and one‑click internal or client reports – grounded in real‑time project data.

How it Works

1. Connect Noxs to the infrastructure

Link Jira, Confluence, Google Drive, Slack, and Git. (Optional: Noxs can integrate extra tools, which expands its analytical context and lets you obtain more meaningful insights and ask deeper questions..)

2. Normalize & index

Noxs pulls tickets from Jira, pages from Confluence, merge requests from Git, documents from Google Drive, and other artifacts into a unified model, so signals stay comparable across tools.

3. Run a project health check report

Based on this data, Noxs analyzes your project infrastructure, surfaces key delivery and quality metrics, highlights weak spots, and provides actionable recommendations to improve execution.

4. Describe your processes using a set of rules

You specify how your processes are supposed to work so Noxs can monitor them on your behalf. For ongoing projects where you’ve already received recommendations from Noxs, you can accept them as-is or adjust them — Noxs will treat this as the source of truth and track the right signals going forward.

5. Interpretation

With your data and rules in place, Noxs detects risks, patterns, and anomalies (e.g., “no assignee for 48h,” “review SLA breached,” “scope creep vs. plan”) and surfaces them to the team before they turn into real problems.

6. Action

Noxs post reminders, escalate risks and issues, prepare reports inside your existing messengers – so teams don’t need to add a new interface into their work.

7. Ask Anything

Natural‑language questions return precise, source‑linked context for quick decisions.

Architecture & Security

Deployment models

Cloud (SaaS): Uses trusted third‑party LLM services (currently OpenAI and Google) to process prompts and provide answers

On‑prem / Private Cloud: Customer‑controlled environment; Noxs operates within your infrastructure

Data handling & model training

Request/response logs exist to support operations and auditability (includes chat threads where the bot is added, Confluence docs, and code from Git repositories such as GitLab, per your configuration).

Your data is not used to train generalized AI/ML models; data from Google Workspace APIs is explicitly excluded from such training.

Access & governance

Works with your existing systems and channels, avoiding new, parallel interfaces and minimizing app fatigue.

International data transfers for cloud use appropriate safeguards with LLM providers.

For detailed legal language, see Noxs Privacy Policy and Terms.

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Integrations

Core tooling

Jira, Confluence, Slack, Telegram, Google Drive, Git (e.g., GitLab).

Communication channels

Works natively in chat – ask questions, assign tasks, determine process, and schedule recurring actions directly from Slack (materials also reference Google Chat and Telegram, where configured).

Example Flows (text‑first mini‑demo)

Anna

Project Manager

Show issues with no assignee older than 48h and the epics they belong to.

Noxs.ai

7 issues found; 3 in Epic‑S24 (Checkout), 2 in Epic‑S18 (Payments), 2 not linked. Recommend auto‑assign by component owner; add DoD check.

Alex

Product Manager

Draft a client status for Sprint S27

Noxs.ai

Draft ready: progress 62%; 3 key risks (1 mitigated, 2 in progress). Release plan unchanged. Insert to Confluence and share in #client‑status?

Max

Project Manager

What’s blocking Release 2.13?

Noxs.ai

PR‑123 (backend) and JIRA‑567 (QA). Two reviewers required; review SLA expired 14h ago. Proposed next steps posted to the team channel.

For Teams & Roles

CTO / Head of Delivery

Gain an understanding of the current delivery status, receiving escalations only for critical issues, which reduces noise from individual Jira updates. Identify risks in advance.

Program/Project/Product Managers

Automated status, reports, and reminders; ability to delegate routine tasks to Noxs and free up time for important activities.

Team Leads / Engineers

Clear understanding of blockers, receiving reminders, and the ability to search for answers from code, tasks, and documentation all in one place.

FAQs

Does the team need to adopt a new interface?

No. Noxs works inside your existing tools (Jira, Google Drive Confluence, Slack, Git), minimizing context switching and app fatigue.

Where does Noxs run?

Cloud or on‑prem/private cloud – whichever fits your data control requirements.

Which LLMs are used?

In the cloud version, Noxs uses third‑party LLMs (OpenAI and Google) as processors; on‑prem deployments keep processing within your environment.

Is my data used to train public models?

No. Noxs does not use your data to train generalized AI/ML models; data from Google Workspace APIs is not used for training.

How do we interact with Noxs?

Through your everyday tools – including chat. Materials reference Slack (and, where configured, Google Chat/Telegram) for asking questions, receiving notifications, escalations, and scheduling recurring actions.

Let’s discuss how we can help with your project

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Discuss your project

with a team of expert software architects, fintech analysts, and UI/UX designers.

Receive a detailed proposal

including software architecture, functionality, UI/UX design, and a detailed cost estimate with a feature-by-feature breakdown.

We start development

If you like the proposal, we’ll sign the contract and start development within 1-2 weeks, and get your MVP live in 3-4 months.