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AI Development & Implementation

AI is most useful when it fits the work. BCI-IT helps you identify the parts worth changing, build the right capability, and put it into operation with the controls your organization needs.

Start with the part that matters most now. Add more when the results and operating model make the next step clear.

What we do

Pick the piece you need.

01

AI Strategy and Use-Case Discovery

Find the workflows where AI can create useful, measurable lift—and the ones where it should not be forced.

02

Data Readiness, Pipelines and Integration

Make the right information available, connected, governed, and usable by the teams and systems that need it.

03

GenAI / LLM Application Development

Build chatbots, copilots, knowledge assistants, and agent workflows that fit the way people already work.

04

Conversational AI for Financial Institutions

Deliver conversational and agentic AI that understands natural-language requests, applies institutional policies and rules, and can complete workflows across digital channels.

05

Document Intelligence and Workflow Automation

Turn documents, forms, and repetitive decisions into structured work with human review where it matters.

06

Model Selection, Evaluation and Guardrails

Choose models based on the job, test them against real requirements, and put sensible controls around their use.

07

MLOps, Deployment and Monitoring

Move from an interesting prototype to a service that can be deployed, observed, maintained, and improved.

08

Team Enablement and Training

Give your people the patterns, practical fluency, and confidence to adopt AI responsibly.

AI delivery services

Conversational and agentic AI for financial institutions.

We design, build, and deliver conversational and agentic AI that understands natural-language member and customer requests, applies the institution’s own policies and rules, and can complete requests end to end across digital channels.

We use banking-grade conversational AI from Kasisto, part of Backbase, or another approach when that fits better. Our engineers integrate it with the core systems the institution already runs and deliver the capability into production.

Diagram: a member asking a digital assistant to raise their card limit, with the assistant applying the institution's policies, acting on core systems and confirming the completed request.

PLATFORM EXPERIENCE

Deep platform experience. No platform bias.

We are capable in Backbase, Kasisto’s banking-grade conversational AI, AWS, and Microsoft Azure, and we choose them where they fit the client’s environment. Where a partner platform is the right answer, we implement it; where it is not, we say so and build something else.

implementation partner

banking-grade conversational AI, now part of Backbase

AWS

cloud build and support

Microsoft Azure

cloud build and support

Who this is for

Banks, credit unions, financial institutions, public sector organizations, and enterprise teams ready to make AI useful in the real work.

A modular path to adoption

Build the path that fits.

Start with one piece, or the whole program. Begin with a single use case, embed our specialists inside your existing team, or hand us the full build from discovery through deployment. You do not have to buy every capability from BCI-IT for the work to be valuable.

Questions about making AI useful

What should we clarify before we build?

Can we start with one AI use case?+

Yes. A single well-chosen use case is often the best way to learn what your data, workflow, and governance need before expanding.

Do we have to buy everything from BCI-IT?+

No. AI adoption should fit the parts of your operation where it makes sense. We can contribute one discrete capability, embed with your team, or lead the full program.

Can your specialists work inside our existing team?+

Yes. We can work alongside your product, engineering, data, risk, and operations teams with clear ownership and handoffs.

How do you approach sensitive data?+

We start with the data flows, access boundaries, retention needs, and compliance obligations that shape a safe design, then select the right architecture and controls.

What does an engagement typically cost, and how is it sized?+

Cost follows the use case, data readiness, team shape, and delivery phase. We size the work around the outcome and make each phase and assumption clear.

Are you tied to any particular vendor or platform?+

No. We are deliberately independent. We implement and integrate the platforms that suit your environment, including Backbase, Kasisto, AWS, and Microsoft where they are the right fit—and recommend against them when they are not.

Can you work with our existing core banking systems and incumbent platforms?+

Yes. We integrate with existing core banking and incumbent platforms when they are part of the workflow, with the controls and boundaries the environment requires.

How do project governance and reporting work?+

A named lead, delivery checkpoints, decision tracking, and concise reporting keep the work visible to technical, operational, and executive stakeholders.

Make the next AI move practical

Put one useful capability into motion.