Alkami’s AEs sell to bank CIOs who expect precision and compliance.
The research and drafting tools they use to do that shouldn’t live outside the corporate perimeter.
A Slack-native AI layer — @research, @draft, @summarize, @triage, @reconcile — built for the compliance-aware sales motion Alkami runs every day.
×
About Teqfocus
The partner that owns the data layer and the application layer — and operates what it deploys
Most data platform engagements deliver a pipeline. Teqfocus delivers agents that run on it — and keeps them performing through AgentOps managed services.
Market Positioning
Global Presence
Why we're reaching out to Alkami now
Alkami's sales motion is high-stakes, compliance-aware, and extremely research-intensive. The tooling behind it should be too.
Account prep for a credit union CIO is not a 15-minute task
Your AEs are calling on CIOs at credit unions and community banks — buyers with deep institutional context, regulatory awareness, and long institutional memory.
Showing up credibly requires: core banking stack, competitive landscape, recent NCUA or OCC context, prior meeting history. Right now that work happens across six browser tabs, an incomplete CRM, and a block of unstructured time before the call.
The compliance irony sits in the deal cycle itself
Your core value proposition to financial institutions centers on data governance and security. If your AEs are drafting follow-up emails to bank CIOs using personal ChatGPT accounts, the compliance exposure you help customers avoid is exactly the risk your team is running inside the deal cycle.
That gap is both a governance issue and a reputational one — particularly when the prospect is asking questions about your own data practices.
Forecast reconciliation in fintech enterprise pipeline is a manual grind
Enterprise fintech sales cycles are complex: multi-stakeholder, multi-month, with deal stages that don't map cleanly to standard CRM probability buckets.
The Tuesday morning reconcile before the forecast call takes time reps spend pulling data rather than advancing deals. @reconcile surfaces the delta, flags the gaps, and drops the pipeline snapshot directly in Slack — where the conversation already happens.
What this means for your team
Three places where a Slack-native AI layer directly addresses Alkami's highest-friction sales work
@research for pre-call account prep — inside the corporate perimeter
Account prep for a credit union CIO is not a 15-minute task. Regulatory context, core banking stack, competitive landscape, prior conversation history — @research pulls that together in the time it used to take to open six browser tabs. The output stays inside Slack, inside the Salesforce integration, inside the data governance boundary Alkami enforces for its own customers. The meeting is better. The conversion rate follows.
@draft for financial institution follow-ups — precision, not just speed
A follow-up email to a community bank CIO that references their core banking stack, mentions the regulatory change they're currently navigating, and proposes a specific next step wins replies. Generic AI-drafted follow-ups — the kind produced by consumer tools without account context — do not. @draft pulls from the Salesforce account record, the prior call notes, and the research brief to produce follow-ups that feel like they came from someone who did the homework. Because they did.
A 2-week fixed-fee pilot: 20 users, 3 skills, measurable immediately
The pilot structure is designed for fast approval: fixed fee, fixed scope, no enterprise procurement cycle required. Twenty users — a full AE team or a mix of AEs and RevOps — running @research, @draft, and @reconcile for two weeks. At the end, you have usage data, rep feedback, and a time-saved calculation against the pre-call prep and follow-up baseline. IT approves because data governance stays inside Slack and Salesforce. Finance approves because the number is small enough to move without a committee.
Proof of work
How we've done this before
B2B SaaS — Enterprise Financial Services Sales Motion
A B2B SaaS company running a complex enterprise sales motion into the financial services vertical had an account prep problem. AEs were spending 45 minutes or more per account preparing for executive-level meetings — pulling from CRM, news sources, regulatory publications, and prior call notes manually. Follow-up email quality was inconsistent, and the team had flagged consumer AI tools as a governance risk. IT had blocked several tools outright.
We deployed the Slack-native AI layer with @research, @draft, and @reconcile configured against their Salesforce instance. @research ingested account records, recent news signals, and regulatory context to generate pre-call briefs on demand. @draft was configured with their follow-up email framework and account field mappings. @reconcile connected to their pipeline reports for weekly forecast prep. Everything ran inside Slack — no new tools, no new logins, no data leaving the governed environment.
Pre-call account prep time dropped from 45 minutes to 12 minutes per account. Follow-up email drafting time was reduced by 60% across the AE team. IT approved the deployment in the first week because data governance stayed entirely inside the Slack and Salesforce integration boundary — the compliance argument that had blocked prior AI tools was resolved by design.
Technology Partners
Teqfocus brings Salesforce Summit, Snowflake Premier, AWS Advanced, and Databricks credentials — the right tool for the right layer, without single-vendor lock-in.
- Summit Consulting Partner
- 200+ Certified Experts
- Sales Cloud, Agentforce, Data Cloud
- Agentforce deployments for Hi-Tech enterprises
- Premier Services Partner
- 20+ SnowPro Certified
- 50+ customers
- Cortex Agents architecture, dbt governance, and data fabric design
- Certified Consulting Partnert
- 20+ AI & data workloads
- MLOps pipelines
- AI governance frameworks and model monitoring
- Advanced Consulting Partner
- Data & Analytics Competency
- 150+ active engagements
- Cloud architecture for enterprise data platforms
Worth a 30-minute conversation?
If governed AI tooling for sales and RevOps is on your agenda, the 30 minutes is worth it.
