AI-first Staff Augmentation to ship software faster.
We embed PMs, developers, QA, DevOps, data and GenAI talent inside your team, with agents, playbooks and metrics to cut repetitive work and accelerate delivery.
For teams that need capacity, not more AI promises.
This offer is for when the problem is no longer understanding what AI is, but increasing speed, delivery discipline and technical coverage inside your real software workflow.
Piled-up backlog, technical debt, slow releases or critical roles that are hard to fill.
You need to move product forward without standing up a full-time team from scratch.
Your operation depends on manual processes that need software, automation or agents.
Your team already uses AI, but hasn't yet turned it into an operating system for work.
Start with one role, scale to a pod, or use fractional seniority.
Where you start depends on the bottleneck: lack of hands, lack of technical leadership, or the need for end-to-end delivery.
Individual AI-first role
A PM, developer, QA, DevOps, data or GenAI specialist embedded in your team and your tools. Ideal for covering an urgent need without redesigning your whole operation.
Full pod
A turnkey AI-first team for a product or initiative: Product + Engineering + QA + DevOps/Data. Ideal for building, accelerating or rescuing a complete delivery workflow.
Fractional senior
Senior talent on a part-time basis for architecture, QA strategy, DevOps, data or technical leadership. Ideal for expert seniority without a full-time hire.
The difference isn't “using ChatGPT.” It's working with agents, playbooks and metrics.
Every role arrives with an AI-first way of working: automation for repetitive tasks, human review for critical decisions, and weekly measurement to know whether delivery is actually improving.
Agents / Agents per role
Reports, test cases, documentation, release notes, research, triage and analysis.
Playbooks / Delivery rituals
Onboarding, discovery, sprint rituals, code review, QA gates and incident response.
Governance / Human control
Access, permissions, review, traceability and clear rules for AI usage.
Metrics / Visible impact
Lead time, throughput, quality, coverage, adoption and time saved.
Technical roles with AI-first workflows.
We don't sell a generic list of profiles. Each role is defined by its responsibility, the agents that support it, and the metrics it has to move.
Product PM
Delivery and coordination; status reports, meeting notes, risk register, backlog grooming, acceptance criteria and follow-ups.
Frontend / Backend
Features and architecture; scaffolding, tests, refactors, documentation, PR assistance and faster ticket throughput.
QA
Quality from the sprint; test cases, E2E, bug triage, assisted regression and integrated quality gates.
DevOps / SRE
Infra and reliability; IaC, pipelines, runbooks, observability, release notes and deployment support.
Data / Analytics
Data to decisions; pipelines, queries, exploratory analysis, dashboards, data quality and data copilots.
GenAI / LLM
Agents and RAG; RAG, tool calling, evaluation, prompts, guardrails, agents and flows connected to your data.
We work inside your stack, not outside your operation.
Aiuda talent integrates into your tools, your rituals and the way you make decisions. AI accelerates, but control stays with the team.
Tools
Jira, Linear, GitHub, GitLab, Slack, Notion, Google Workspace, CRMs and internal APIs.
Rituals
Planning, daily, sprint review, retro, grooming, code review, QA gates and release planning.
Operation
Owners, channels, response times, documentation and escalation rules.
Handoff
Every agent, playbook or workflow is documented so the team can sustain it.
AI-first doesn't mean out of control.
Before integrating talent or agents, we define access, permissions, repositories, sensitive data, human review and automation limits.
If it isn't measured, it's just narrative.
We define metrics before we start, to know whether the engagement is really improving speed, quality or operational capacity.
From diagnosis to first sprint.
Diagnosis
backlog, stack, roles, access, metrics and risks.
Integration
channels, rituals, repositories, permissions and first scope.
First sprint
the role or pod starts delivering with agents and playbooks active.
Review
impact, friction, quality and automation opportunities.
Scale
add roles, automations or fractional support.
Frequently asked questions
Can I start with a single role?
Yes. It's usually the best way to start when there's a clear bottleneck.
Does the talent work under my PM or under Aiuda?
It can integrate under your leadership or with shared coordination.
What if I already use contractors?
Aiuda can complement your current team. The difference is in the agents, playbooks, metrics and way of operating.
How do you handle access to repositories and data?
Permissions, environments, limits, confidentiality and review rules are defined before onboarding.
Can I turn an individual role into a pod?
Yes. If the impact is clear, it scales from role to pod, or specific roles are added.
Build your AI-first team.
Book a diagnosis and we'll define which role, pod or fractional model can accelerate your delivery.