Don't sell AI.
Build capacity.
Big Timber is a hands-on AI consultancy, systems integrator, and managed AI operations partner. This page is about how we think — the beliefs that decide what we build, what we refuse to build, and who stays in charge of it.
Nine positions
we work from.
These are not values on a wall. Each one changes what gets recommended, what gets sequenced first, and what gets argued against in a working session.
- P1
Start with the operation, not the model.
The first question is not which model. It is how work moves through the business, where it gets stuck, and what outcome matters. Models and architecture follow that.
- P2
Build around real work.
If it does not remove work, improve a decision, or keep the business moving, it is a demo — and we will say so.
- P3
Connect before multiplying tools.
Another subscription adds surface area. Connecting what already exists adds capacity.
- P4
Humans keep authority where consequences matter.
Money, customers, and reputation stay under human approval. Autonomy is a setting, not a promise.
- P5
Production systems require ownership.
Anything running in a business needs a named owner, monitoring, and someone responsible when it fails.
- P6
Training is part of implementation.
A workflow nobody understands is not implemented. The job changes, and the team has to be brought with it.
- P7
Measure capacity and business impact, not AI activity.
Usage counts prove nothing. Time recovered, decisions improved, and margin protected do.
- P8
The best AI infrastructure becomes less visible as it becomes more useful.
The goal is not a product people talk about. It is an operation that runs better than it did.
- P9
We should carry some of the risk.
AI implementation is difficult to price against a guaranteed outcome before we understand the operation. That does not mean the buyer should carry all the risk. Our 90-day money-back guarantee puts our incentives behind making the work worthwhile.
Infrastructure,
not decoration.
Big timber is what you use when something has to carry weight for a long time. It is structural, not decorative — the part of a building nobody photographs and everything depends on.
It is also how we think about an operating environment: systems that look separate on an org chart and are entirely interconnected underneath, built at the scale the business actually runs at, layered in over time rather than delivered in one drop.
That is the standard we hold the work to. Load-bearing infrastructure, connected underneath, built to still be standing — and still be useful — several years from now.
Businesses where
work crosses systems.
Big Timber works with businesses where meaningful work crosses systems, teams, data, and decisions — ecommerce companies, service businesses, distributors, manufacturers, and professional firms. The common factor is operational complexity, not an industry label.
We work across industries. Ecommerce is an area of specialization, and our approach applies anywhere important work crosses systems, teams, and decisions. See how it applies by industry.
On the technical side, the work is systems integration: APIs, MCP, events, data access, permissions, and approval design. We have extensive hands-on experience with MCP through OpenClaw and its integrations ecosystem — practical experience in connected AI environments, not a partnership or certification.
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 →See how this applies to your business.
A working session, not a pitch. We look at how your operation runs, and tell you plainly where AI creates capacity and where it does not.