Fractional Team
Sovio’s Fractional AI Team gives you flexible access to the people you need to plan, build, and scale AI, without the overhead of permanent hires. From early strategy to technical oversight, we plug into your teams and priorities to keep momentum high, scaling up or down as needed.
You’ll have access to AI strategists, technologists, engineers, and delivery leads who bring clarity, unblock progress, and help you deliver with confidence. It’s the capability of a trusted in-house AI team—ready when you need it, without having to build one from scratch.
Start small or scale fast, we have a team that works
We shape a team around your needs and adjust as you grow. Scale up when things move fast, scale back when they don’t. You get the capability when you need it, and headroom when you don’t.
Whether you're starting with one practitioner or spinning up a full-function team, we’ll assemble the right mix of roles; strategists, architects, engineers, and delivery leads, to match your pace. We stay close to the work, plug into your rhythm, and flex involvement as priorities shift. There’s no fixed footprint; just the support to help you move faster, with less friction.
Our team is your team
AI Strategy Lead
Shapes the big picture; defining where AI fits, what to prioritise, and how to align efforts with broader business goals. Works closely with senior stakeholders to frame a direction that’s ambitious but grounded. Balances opportunity with risk, and helps teams avoid wasted motion.
AI Architect
Designs the technical backbone of your AI initiatives. Defines how components should fit together, tools, APIs, infrastructure , and governance. Ensures the stack is robust, scalable, and secure. Makes early choices that accelerate delivery down the line, and works closely with engineers to make sure designs hold up in practice.
AI Consultant
Bridges the gap between technical capability and real-world application. Works with teams across the business to spot opportunities, validate use cases, and turn vague ideas into clearly framed challenges. Brings structure to early conversations, helping teams move from curiosity to clarity, fast.
Machine Learning Engineer
Builds, adapts, and integrates models into real systems. Works across the stack: data pipelines, APIs, app logic; to get things working, not just demoed. Whether fine-tuning foundation models or engineering retrieval workflows, they make sure the AI does something useful and reliably.
AI Automation Engineer
Designs and builds workflows that automate tasks across tools, teams, and systems. From internal assistants to multi-step agents, they connect models to business logic, making things faster, leaner, and smarter. Also, crafts effective prompts, handles edge cases, and tunes for tone, structure, and behaviour to suit.
Delivery Lead
Ensures the work lands well -on time, on scope, and with clear outcomes. Aligns stakeholders, unblocks teams, and keeps momentum up without adding unnecessary process. Brings structure where it’s needed and stays out of the way where it’s not. Acts as the quiet engine behind successful delivery.
Flexible by Design
Starter
Best for early exploration or one-person fractional roles
1–2 days/month
Use case validation, roadmap shaping, light implementation guidance.
Core
Blended support across strategy, delivery, and tech.
4–6 days/month
Outcome-focused delivery, AI team coaching, in-team pairing, fast iteration.
Scale
Dedicated multi-role fractional team.
8+ days/month
Full ownership of delivery streams, AI ops, and deeper integration.