Sharpr for Banking

Analyst subscriptions, economic forecasts, payments intelligence, consultant engagements, customer studies, competitor benchmarking, regulatory analysis. At a large institution this runs into seven figures a year.

The problem is that consumer banking, commercial, wealth, payments, treasury, and risk each keep their own libraries, their own vendor relationships, and their own view of what matters. So the same intelligence gets bought two or three times and used once.

We are not trying to consolidate for the sake of it. The goal is narrower and more useful: the analyst in commercial should be able to find the deposit behavior study that retail commissioned, and both should be able to find it again in two years.

What banks tell us

The silos are close to total. Teams often do not know what other teams have bought or produced. The first sign of overlap is two similar invoices in the same procurement review.

Nobody can defend the subscriptions. Analyst and data subscriptions renew on inertia. Ask who uses one, how many people, for what, and the honest answer is usually a guess.

Competitive and fintech monitoring is fragmented. Product launches, rate moves, fee changes, partnerships, funding rounds. Several people track them in several spreadsheets, none of which survive a reorganization.

Regulatory context takes days to assemble. A proposal drops or an examination question arrives, and gathering the relevant history, prior analysis, and comment letters becomes a project.

Knowledge leaves with people. Product, strategy, and analytics roles turn over. Each departure removes undocumented context about why a product is built the way it is.

Document sprawl is a governance risk. Research scattered across shared drives, personal folders, and email is hard to govern, hard to retain correctly, and hard to remove when it should be.

How this works inside a bank

One hub, organized automatically, across lines of business

We ingest content from wherever it comes from and process, categorize, and connect it automatically, generating summaries, tags, and links between related material. Analyst reports, consultant deliverables, internal customer research, economic commentary, competitor teardowns, recorded interviews, regulatory documents.

Sharp It handles the web layer. It is a browser bookmarklet. Click it on any page and that page is in your hub with the source preserved. Competitor rate pages, fintech funding announcements, regulatory notices, trade coverage. Competitive monitoring stops being one analyst's side project and becomes an organizational asset.

Search that answers a question rather than returning a file list

Our GenAI search takes natural language. A product manager can ask what the research says about small business willingness to pay for cash flow tools. A deposit strategist can ask what prior analysis exists on rate sensitivity in a segment. A wealth leader can ask what advisors reported about client anxiety in the last downturn.

AI summaries let people triage fast. The measurable effect is that a question which used to cost a day of internal email gets answered before the meeting starts.

Push intelligence to people who will never open a portal

Executives, relationship managers, branch leadership, advisors. Our briefs, newsletters, and alerts reach them, personalized by role.

What banks run:

• A daily or weekly competitive brief covering rate moves, product launches, and fintech developments.
• Alerts to compliance, legal, and government affairs when new content lands on a watched regulatory topic.
• A monthly economic and market brief for commercial relationship managers to use in client conversations.
• A quarterly customer insight digest for the executive committee, assembled across all lines of business.
• A wealth management newsletter giving advisors talking points from internal research rather than generic market commentary.

Break the silo without breaking the structure

Our multi-hub architecture lets each line of business keep its own environment while controlled sharing moves relevant insight across them. Retail does not need commercial's client-specific analysis, and information barriers between certain functions are a legal requirement rather than a preference. Role-based access runs down to individual content, so the structure you need is enforceable inside one platform.

Turn renewals into a data-driven decision

Our analytics show what gets used, by whom, how often. Banks point this straight at subscription renewals. Forty active readers across three lines of business defends itself. Two readers gets renegotiated or cut. For institutions spending at this level, the analytics alone often carry the business case before anything else does.

The same data reveals demand gaps, because repeated searches on a topic with thin content behind it is the clearest research brief you will ever get.

Four situations you will recognize

Evaluating a new deposit product. The team opens a hub holding the customer research, the competitor scan captured through Sharp It, the pricing analysis, the regulatory review, and the pilot results. At the two year review, the full reasoning is intact and the exercise takes days rather than months.

Responding to a regulatory proposal. A comment deadline lands. One search returns prior comment letters on related matters, the economic analysis from an earlier cycle, the industry association materials, and the internal impact assessment. You draft from the institution's record instead of from whoever has the longest tenure.

Preparing for an acquisition. Corporate development needs a fast read on a target's markets. A search surfaces the market studies, competitor analysis, and customer research you already own on those geographies and segments, which sharpens the diligence questions before external advisors get engaged.

Onboarding a new line of business head. Instead of thirty introductory meetings, the incoming executive gets a hub with the customer research, competitive picture, product history, and strategic analysis. Engagement analytics tell the Chief of Staff what has been covered and where to spend the live time.

Where banks usually begin

An enterprise rollout is rarely the right first move at this size. The patterns we see:

Competitive intelligence first. Most visible pain, easiest to demonstrate, and Sharp It makes the improvement obvious inside a week. A weekly competitive brief reaching product and executive leadership generates internal demand quickly.

Subscription rationalization. Some banks start by routing analyst and data subscriptions through the platform purely for usage visibility. The savings found in the first renewal cycle frequently fund the rest of the deployment.

A single line of business. Consumer or wealth stands up its own hub and proves the model. Multi-hub architecture means the next division does not require a rebuild.

The office of the CEO. Small user base, outsized influence, efficient place to demonstrate value.

User-based pricing with enterprise options means the footprint grows as each group is ready rather than requiring one enterprise commitment before anything is proven.

What we are not

We are not a core banking system, a CRM, or a data warehouse. We do not touch customer account data and we are not trying to.

We are also not general enterprise search. Those tools index everything, including an enormous volume of low-signal material, and the results reflect that. We work over a curated environment where somebody decided the content was worth keeping, which is why the answers are better.

Security and regulatory posture

Your vendor review will be exhaustive. Here is what to hand your third party risk team.

GDPR compliant, ISO 27001 compliant, SOC 2 aligned cloud infrastructure, enterprise DPAs available.

SSO with ADFS, Okta, or SAML 2.0, SSO with Google Workspace, custom SSO through our API, configurable password policies. SCIM 2.0 provisioning with Okta, Azure AD and others. Role-based access across hubs and individual content. Bulk import, lifecycle, and offboarding workflows so entitlements track employment and role changes.

AES-256 at rest, TLS 1.3 in transit, logical tenant isolation, encrypted backups, protected key material. Advanced DDoS protection, redundant servers, regular backups, annual disaster recovery testing, and 24/7 monitoring with incident response.

Audit trails and permission structures also support the information governance expectations examiners raise, which is a much easier conversation from one governed platform than from a patchwork of shared drives.

Adoption in a place that has seen platforms fail

Banks have long memories of mandated systems that launched and then quietly died. Our push and pull design addresses that failure mode directly. Analysts, strategists, and product teams use search because it saves them time. Executives and client-facing staff receive briefs and alerts and never change a habit. Neither group's adoption depends on the other.

Implementation includes a dedicated customer experience manager, training tailored to specific roles, and ongoing guidance after go-live rather than a handoff.

Migration is on us

SharePoint, a legacy insights portal, Box, network drives, or several at once. We map your structure, move content, users, permissions, and archives, and organize it as it lands. No charge.

Where to start

Take one question your teams have answered more than once this year and time how long it takes to find the answer today. Request a demo and bring that question. The gap is usually the business case.