Get your team to actually use AI
Real AI adoption comes down to people feeling confident enough to use it every day, on the work that matters most to them. That confidence is what we build.
Swept engineers embed as player-coaches: people who ship production code and use agentic AI every day. We run onsite training and ongoing coaching that build real confidence and turn early experiments into everyday habits.
Great adoption starts with people
Adoption comes down to people, not just tools. We help your team build real confidence with AI, meeting them where they are and stacking up early wins they can feel.
Onsite training workshops
Hands-on sessions run in your office, on your stack, with your team. People learn by doing real work rather than watching slides, so the skills are still there after we leave.
Ongoing remote coaching
A standing player-coach relationship between visits: office hours, live pairing, and quick answers whenever someone wants them, so momentum keeps building between workshops.
Embedded pairing on your code
We sit with your engineers on real tasks: a security review, a refactor, a stubborn bug. Working through actual problems is what moves a team from curious to confident.
Team practices and shared config
We set up the plumbing that makes AI a team sport: shared prompt and skill files, repo conventions, and a way to distribute them that fits your source control, even older tooling.
Leadership alignment
Sessions built for executives, so the people funding AI understand what it does, where it shines, and how to back their team with confidence from day one.
Champion enablement
We find the people already leaning in and give them what they need to bring others along, so adoption spreads naturally from the inside.
Security-first from day one
Safe patterns for regulated, legacy environments: what to send a model, what to keep in house, and how to review AI-assisted changes before they ship.
A bridge to governance
When the team is ready, the same relationship opens into the rest of Swept: governance, cost control, reliability, and private model access, on one foundation.
What You Get
A team that reaches for AI
Engineers who open an agent out of habit because it earns its place in their day, not because a policy told them to.
Practices the whole team shares
Shared prompts, skill files, and conventions that live in your repo, so good habits are repeatable instead of trapped with one power user.
Momentum that lasts
Coaching between sessions keeps the energy from fading after the first workshop, so early wins compound into everyday use.
Confidence across the team
People who understand what the tools do and where they shine, so they reach for AI calmly and often.
Cost controls as you scale
As more of the team uses AI, we help you keep usage and spend visible, with clear budgets, so adoption grows on a foundation you can measure.
A measured path to governance
When you are ready, a clean handoff into governance and the rest of the platform, so the maturity you build is easy to prove later.