A loop,
not a project.
Discover, Design, Build, Train, Maintain, Expand. Each pass leaves behind working infrastructure and a team that knows how to use it — and reveals the next thing worth building.
Each phase leaves
something behind.
We are not looking for places to “use AI.” We are looking for places where the business can recover time, remove friction, improve a decision, increase capacity, or move work faster. That is what decides where we start.
- 01Phase
Discover
We learn how the business actually operates.
Goals and economics. The systems in use and how they are wired. Workflows, handoffs, and bottlenecks. Repetitive work and the decisions behind it. Where the data lives, who is permitted to see it, and what carries real risk.
- Goals and unit economics
- Systems inventory and data flow
- Workflows, handoffs, bottlenecks
- Repetitive work and decision points
- Data availability and permissions
- Risk and consequence mapping
- 02Phase
Design
We prioritize what is worth building.
Every candidate opportunity is weighed against the same criteria, and the sequence matters as much as the list. Some things are deliberately deferred; some are recommended against entirely.
- Financial impact
- Capacity created
- Implementation difficulty
- Repeatability
- Risk and reversibility
- Strategic value
- 03Phase
Build
We connect the systems and ship production workflows.
Integration work is the unglamorous part and the part that decides whether any of it holds: permissions, data contracts, error handling, logging, and a named owner for every failure mode.
- APIs, MCP, webhooks and events
- Data access and permissions
- Production workflows and agents
- Workflow orchestration and logging
- Human approval gates
- Documentation as built
- 04Phase
Train
We teach how the work changes — not how to prompt.
The capability only lands if the people around it change how they operate. Training is about the new shape of the job: what the system now does, what it escalates, and what still belongs to a person.
- Role-level working sessions
- What the system does and escalates
- Where human authority stays
- Exception handling in practice
- Reference documentation
- Support for new hires
- 05Phase
Maintain
We stay responsible for what we built.
Managed AI Operations: monitoring, troubleshooting, adaptation, permissions, documentation, employee support, quality review, and governance — the standing ownership that keeps capability from decaying.
- Continuous monitoring
- Troubleshooting and repair
- Model and API adaptation
- Permissions and documentation
- Employee support
- Quality and impact review
- 06Phase
Expand
The next opportunity comes from inside the relationship.
Once we are operating alongside the business, the next constraint is usually obvious — and the environment already has the connections, permissions, and context the next build needs.
- New constraints identified early
- Existing connections reused
- Context already established
- Scoped and sequenced with you
- Each build has more to stand on
- Returns to Discover
Each build has
more to stand on.
Every pass adds a connection, a permission, a data contract, and a piece of institutional understanding. The environment gets denser, and each new capability has more to stand on.
Foundation
Systems connected, permissions established, the first workflows in production, the team trained on a new way of working.
Leverage
The next build can reuse connections, permissions, and context already established in the environment.
Operating environment
Workflows begin sharing context. The business stops buying tools and starts extending an environment it owns.
Commercial policy
90-Day
Money-Back
Guarantee
Term · 90 days · From engagement start
Every business is different, so we will not pretend we can promise the same return before we understand yours. What we can do is share the risk.
Big Timber backs its implementation work with a 90-day money-back guarantee. You are not taking the implementation bet alone — if we cannot make the engagement worthwhile, you should not be stuck with the cost.
Subject to engagement terms.
Read Our Guarantee →Start with Discover.
The first conversation is exactly that: how your operation runs today, where time and margin are being consumed, and which workflows present the strongest opportunities.