Using Spiich
How Spiich Works: Your AI Sales Assistant for CRM, Research, and Follow-Ups
Getting Started
Nov 1, 2025
The Sales Admin Tax is Killing Your Team's Productivity. Sales professionals spend 65% of their time on non-selling activities. Here's where that time disappears:
CRM updates: 4+ hours per week. Manual data entry happens hours after conversations when context and critical details are lost. Half of sales teams don't update their CRM at all.
Meeting preparation: 10-15 minutes per call. Reps stitch together prospect research from LinkedIn, company websites, email threads, and fragmented CRM notes.
Follow-up emails: 5-15 minutes each. Personalization takes time, but delayed follow-ups kill conversion rates. Reps choose between speed or quality.
Daily prioritization: pure guesswork. "What should I work on today?" Without clear deal visibility, recency bias wins and warm opportunities go cold.
The result? Your best reps are glorified data entry clerks, and your pipeline suffers from incomplete data and misallocated attention.
Spiich is a conversational AI sales assistant that handles research, CRM management, meeting preparation, and outreach - so you can stay focused on building relationships and closing deals.
Text or talk to your assistant from anywhere. Update your CRM while walking to your car: "Mark the Acme deal as closed-won, €50K ARR." Ask questions between meetings: "Brief me on my 2pm with TechCorp." Request help during prospecting: "Find the decision-maker at Globex who owns cybersecurity."
Proactive intelligence before you ask. Every morning, Spiich delivers personalized meeting briefs synthesizing CRM activity, email history, and web research. You walk into calls prepared without spending an hour digging through scattered information.
Native CRM integration. Works directly with Attio and HubSpot - no manual syncing, no data silos. Your entire sales workflow lives in one conversational interface, accessible from desktop, mobile, or browser extension.
Sales reps avoid CRM updates because they're time-consuming and interrupt momentum. Spiich lets you brain dump everything while context is fresh - walking out of a meeting, leaving a prospect's office, or right after hanging up a call.
Your AI executive assistant structures everything: Speak naturally and Spiich organizes the information into proper CRM fields, creates tasks, updates deal stages, and captures notes. No forms, no clicking through dropdown menus.
Voice updates while mobile:
Post-meeting brain dump: "Just finished Acme call. CEO loved the demo, concerned about implementation timeline. Move to negotiation, €50K ARR, close date end of Q1. Create task to send security documentation."
Add contacts at events: "Met Sarah Chen at TechCorp, VP Engineering. Interested in our API capabilities. Add her to HubSpot."
Text commands from desktop:
Bulk operations: "Update all Q1 deals to include renewal timeline discussion in next steps"
Quick changes: "Move discovery calls from last week to qualification stage"
The result: Your CRM stays current without context switching or data loss. Information gets captured in the moment when details are fresh, structured perfectly without you thinking about field names or formatting.
Manual meeting prep is a productivity killer. Reps spend 10-15 minutes before each call hunting through CRM notes, email threads, LinkedIn profiles, and recent company news. Spiich eliminates this entirely.
Automated daily meeting briefs: Every morning, receive a synthesized brief for all scheduled calls. Each brief is completely customizable and includes:
Deal history, recent activities, and current stage
Key stakeholders with common background and interests (shared connections, alma maters)
Relevant company news and context
Suggested talking points and next steps
On-demand preparation: Need last-minute context? "Brief me on my 2pm with Acme" delivers instant synthesis. "What happened since our last interaction with TechCorp?" surfaces timeline of activities.
The result: Walk into calls with complete context - knowing where things stand, what was discussed, and conversation starters that build rapport. Drive higher conversion without the research time.
Wasting time on poor-fit accounts kills pipeline efficiency. Sales teams chase companies that will never buy while qualified prospects go cold. Spiich scores accounts against your ICP criteria and detects actual buying intent.
Qualification beyond firmographics: "Qualify Acme Corp" analyzes:
Company size, tech stack, and funding stage (traditional fit)
Pain point signals: Blog posts, LinkedIn content, job postings
Buying intent indicators: Leadership discussing challenges in your domain, recent hires in relevant roles, competitive tool replacements
Intelligent scoring with reasoning:
Strong fit (85/100) - Series B SaaS, 150 employees, uses Salesforce. CTO published blog post about CRM adoption challenges. Recent VP Sales hire (signal of sales process pain). €20M Series B raised (budget available). Minor concern: Asian customer base.
The result: Prioritize accounts that both fit your ICP AND actively experience the pain you solve. Stop chasing companies that don't need you.
Reaching out to "VP Sales" sounds right - until you discover they don't own the problem you solve. Traditional contact discovery relies on titles and departments. Spiich identifies who actually experiences your pain point and has buying authority.
Beyond job titles: Spiich analyzes each stakeholder to find your most likely buyer based on:
Role and departmental authority (traditional ICP match)
Pain point indicators: LinkedIn posts, blog content, and conference talks revealing frustrations you solve
Buying signals: Budget ownership, vendor selection involvement, project leadership
Relationship angles: Common background with you or your customers (alma maters, previous companies, shared connections)
Example output:
Sarah Chen (VP Engineering) is your best contact - not the CTO. Recent LinkedIn post about "drowning in manual processes" matches your value prop. Previously worked at LogixCorp (your customer). Owns infrastructure budget. High response likelihood.
The result: Contact the person most likely to care, buy, and respond - not just the expected title.
Personalized follow-ups drive conversion, but they're time-consuming. Reps choose between speed (generic templates) or quality (15 minutes per email). Spiich delivers both.
What makes Spiich emails effective: Every draft pulls from multiple sources and adapts to you:
Deal context from CRM: Current stage, stakeholders, objections, pricing discussions, next steps
Conversation history from emails: References specific points discussed, questions asked, commitments made
Your writing style: Adapts tone, structure, and phrasing to match how you actually write
Relationship dynamics: Considers deal temperature, communication frequency, and prospect engagement level
Example: "Draft follow-up for today's Acme call" generates an email that references the CFO's security concerns from your CRM notes, mentions the Q1 timeline discussed in your last email thread, and uses your typical closing style - all without you specifying any of this.
The result: Follow-ups that sound like you wrote them, get higher response rates, and take 30 seconds instead of 15 minutes.
Sales reps lack clear visibility into deal temperature. Recency bias wins - yesterday's conversation gets attention while last week's warm opportunity goes cold. No one has time to manually dig through CRM records, notes, and email threads to figure out priorities. Spiich eliminates the guesswork.
Intelligent prioritization without the manual work: "What should I focus on today?" analyzes every deal, task, note, and email thread to return a ranked list with clear reasoning based on:
Engagement velocity and communication frequency
Time since last touch and relationship temperature
Stage duration and progression pace
Qualification scores and ICP fit strength
Buying signals and stakeholder involvement
Example output:
Priority 1: Acme Corp - strong engagement, deal stalled 12 days in negotiation stage, CFO hasn't responded to pricing proposal. High risk of slipping.
Priority 2: TechCorp - warm momentum, next step overdue, quick follow-up likely to close.
The result: Stop guessing what to work on. Get data-driven direction without digging through your CRM.
Spiich isn't just a chatbot - it executes complex multi-step workflows from one conversational request. Stop repeating yourself across multiple tools.
Workflow types you can automate:
Qualification + CRM + outreach: Qualify account, log findings, update fields, draft email if good fit
Post-meeting capture: Add notes, update stage, schedule follow-up, create tasks, send recap
Pipeline management: Bulk update deals, assign tasks to team, generate summary reports
Research + contact: Find decision-maker, check ICP fit, draft personalized introduction
Example in action: "Qualify Acme Corp, add a note about their ICP fit, update the qualification score field in CRM, and draft personalized outreach if they're a good fit."
Spiich completes all steps: runs qualification analysis, documents findings in CRM, updates custom fields, and generates contextual email - only if criteria met.
The result: Advanced users save 20+ hours per month by collapsing multi-tool workflows into single commands.
Before Spiich:
CRM updates: 4 hours/week (manual entry, context loss)
Meeting prep: 3 hours/week (researching across scattered sources)
Follow-up emails: 2 hours/week (personalizing at scale)
Prospect research: 2 hours/week (finding right contacts, qualification)
Deal prioritization: 1 hour/week (manually assessing pipeline)
Total: 12 hours per week on admin work
After Spiich:
CRM updates: 20 minutes (voice/text as you go)
Meeting prep: 15 minutes (review automated briefs)
Follow-ups: 10 minutes (review and send AI drafts)
Research: 30 minutes (co-pilot surfaces insights instantly)
Prioritization: 15 minutes (AI-driven recommendations)
Total: 1.5 hours per week
You gain 10 hours per week. That's 520 hours per year - 13 full work weeks - back for actual selling. More deals closed without hiring more reps. Revenue growth that drops straight to your bottom line.