A AI knowledge base for a solar business tackles one specific leak: your real knowledge of pricing, panel and inverter selection, roof types, install quirks and which certificate rules apply to which job lives in a couple of senior consultants and a scatter of past proposals. When they are busy, quoting slows to their pace, and a new consultant cannot design a competitive system without leaning on them for every job. Bamco builds it around the tools you already run, so it fits your operation rather than forcing you to change how you work.
Information current as at 4 July 2026
Your real knowledge of pricing, panel and inverter selection, roof types, install quirks and which certificate rules apply to which job lives in a couple of senior consultants and a scatter of past proposals. When they are busy, quoting slows to their pace, and a new consultant cannot design a competitive system without leaning on them for every job.
This is not a generic problem with a generic tool bolted on. It is a specific leak in a solar business, and the system is built to close it. You can see the full picture of where a solar business leaks margin on the solar industry page.
A knowledge base that turns your quoting and install history into something the whole team can question: past proposals, real pricing, product selection logic, roof and install notes, warranty terms and the current small-scale technology certificate rules, parsed, indexed and searchable in plain language. It can serve answers into a Slack or Teams channel where your team already works, drawing on your OpenSolar designs and document stores, and it cites the source proposal or document behind every answer so a consultant can trust and reuse it.
Bring us the idea you already have, or book an audit and we map where the money is leaking. Either way, you deal directly with the senior team that designs and builds it.
Week one. From week one, a new consultant can find how a comparable system was specced and priced, and which products suited that roof, without waiting for the one person who remembers, so quoting stops bottlenecking on a single desk.
Month three. By month three the knowledge base has become where your quoting and product knowledge lives, so it no longer walks out the door when a senior consultant does, and the speed and consistency of your proposals stops depending on who happens to be free.
Engagements typically start around $50k and are scoped after a systems audit, priced as a fraction of what a legacy build of the same capability would have quoted. You get a fixed-scope proposal with a real number before anything is built, and you own what we build. The point is not the price. It is that a well-built AI knowledge base for a solar business is meant to pay for itself in multiples, by plugging a leak that is costing you every week it stays open.
Whether you can name exactly what you want built, or you just know something is leaking, the next step is the same conversation.