Your firm's AI capability.
Built to last.
Implementation delivers a build. Platform Creation grows an architecture. The ongoing engagement for firms that want AI embedded in how they work — not bolted on as a tool.
Not a project.
A capability.
Implementation scopes and delivers a defined build — one workflow, one skill, one engagement. It leaves four things in the firm and closes.
Platform Creation is what comes next. An ongoing relationship structured around sprint cycles: scoping new builds, running them, reviewing performance, and expanding coverage. The firm's AI capability compounds over time instead of stalling at v1.
Some firms come to Platform Creation after Implementation. Others come directly, with a broader mandate and a clear sense of where they want to go. Both work.
Firms with structured AI development programmes outperform ad-hoc adopters on productivity metrics by a factor of three within 18 months.
McKinsey Global Survey — AI Adoption in Professional Services 2025
Three pillars.
One architecture.
Grow the library of skills your firm owns
Every sprint can produce a new skill — a trained, tested workflow built to your house style, deployed in your environment, owned by you. The library grows with each cycle. Skills compound: output from one feeds input to the next.
- DD reporting from data room to structured output
- Initial case review on new instruction bundles
- Financial disclosure analysis pipeline
- Contract redraft from firm template
Build agents that handle multi-step work
Skills handle a step. Agents handle a sequence. As the library matures, we identify workflows where chained AI steps replace a meaningful chunk of associate time — research, then draft, then review, then format. Agents are scoped, built and governed to the same standard as skills.
- Matter intake: triage, classify and route new instructions
- Disclosure agent: extract, index and flag across a data room
- Drafting pipeline: template, populate, review, format
- Compliance monitor: flag regulatory changes in active matters
Connect your tools into coherent workflows
AI skills and agents do not operate in isolation. Platform Creation maps the connective tissue — how AI output feeds your practice management system, your document store, your billing workflow, your client reporting. Integration is what turns capability into daily practice.
- AI-to-PMS: structured matter data written back automatically
- Document routing: AI-classified output to correct folder, tagged
- Client reporting: AI narrative wrapped in firm template, ready to send
- Billing triggers: time entries generated from AI work log
Structured sprints.
Sustained progress.
Platform Creation runs on a rolling retainer with a defined sprint structure. Each sprint has a scope, a delivery and a review. No open-ended engagements, no drift. The firm always knows what is being built and when it ships.
Sprint cadence is agreed at the start of each engagement — typically monthly or six-weekly depending on the firm's bandwidth and ambition. Either party can close with notice.
Scope and prioritise
Review the current skill library and workflow map. Agree the highest-value build for this sprint. Define inputs, outputs, success criteria and governance requirements before anything is built.
Days 1–3Build and test
Project lead and build engineer work the skill or agent. Tested against real matter data from the firm. Benchmarked against existing output — time, quality, consistency. Iterated until it meets the house standard.
Days 4–18Deploy and embed
Deployed into the firm's environment. Team briefed and signed off. Governance documentation updated. The skill enters the active library — owned, documented, maintained by the firm.
Days 19–24Review and plan next
Performance review against agreed metrics. What worked, what needs tuning, what the sprint produced relative to the time invested. Scope for the next sprint agreed and locked. The cycle repeats.
Days 25–30Where you are.
Where this goes.
Most firms arrive with tools in place and no architecture behind them. Platform Creation moves a firm along this model deliberately — not all the way in one go, but further each sprint. The goal is not T5. It is progress that the firm can sustain and defend.
Most firms with Silva AI reach T03–T04 within twelve months of a first Implementation engagement. Platform Creation is the vehicle that gets them there.
Two routes in.
After Implementation
- You have completed a Silva AI Implementation engagement and have skills live in your firm.
- You want to keep building — more skills, more coverage, more automation — without scoping a new project each time.
- You want a senior team on retainer rather than re-onboarding on every new build.
- You are ready to move from a single build to a growing platform.
Direct to Platform
- You have a broader AI mandate — multiple practice areas, multiple workflows, a firm-wide rollout to coordinate.
- You need ongoing senior resource rather than a one-off engagement.
- You already have a clear view of where AI should go and want a team that can build to it.
- A single defined project is not the right shape for the work you have in front of you.
Build the platform
your firm actually needs.
Platform Creation engagements are scoped individually. Most firms begin with a Discovery Day to establish the roadmap before committing to a retainer. If you already have that, we can go straight to scoping.