Financial Services
Build around the core you are not going to replace.
Connect AI systems to banking cores, origination, CRM, document, and compliance platforms already in place.
A financial institution is not a greenfield. There is a core banking platform, a loan origination system, a CRM, a document repository, an identity provider, and a compliance stack, most of them vendor-supplied and none of them replaceable on the timeline of an AI project.
This is where good ideas stop. The data needed sits inside a system with a batch export and a support ticket process. A vendor agreement governs what can be integrated and how. The pilot works against a copy of the data and never reaches the workflow it was meant to improve.
Core & Vendor Integration treats that estate as the design constraint it is. It gives the team a path to move context and work between existing systems, inside vendor boundaries, batch realities, and the change control the institution actually runs. What matters next is whether the system reaches the workflow, not whether it demonstrated well beside it.
Let’s get going
- Start with the system that holds the context — Identify which platform holds the data the workflow needs, and what it will realistically release, before designing around an assumption.
- Work inside the vendor boundary — Map what each agreement, interface, and support arrangement permits so integration effort goes where it can actually land.
- Reach the workflow, not a copy of it — Aim the first integration at a surface staff already use, so the improvement shows up in the work rather than beside it.
Outcomes
- AI inside existing workflows — Systems participate in the tools staff already use rather than adding another place to check.
- Realistic integration paths — Designs account for batch windows, vendor limits, and change control instead of assuming direct access.
- Less hand-maintained data movement — Context moves between systems through understood paths rather than through exports somebody maintains by hand.