Guides, comparisons, and operator playbooks for BPO ops directors, contact-center training leads, and sales founders evaluating AI tooling. Honest reads, no fluff.
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The full operator pitch: pain points, what we cover, screenshots, day-in-the-life, 4-week pilot timeline, interactive ROI calculator, and a 30-second fit check.
Read the pageHonest comparisons against Cogito, Balto, Observe.AI, and Second Nature. We tell you who each is genuinely better for - including the ones where we are not the right fit.
Read the comparisonsMove four sliders - active campaigns, agents, attrition cost, hires per year. Get the DealMentor starting price (from $999/mo, sales-led), estimated annual saving from reduced attrition, and payback time. Email the analysis to your finance team.
Run the mathWhat makes DealMentor structurally different from Gong, Salesloft, ChatGPT, and standalone fractional CRO services. A category-of-one breakdown for the procurement deck.
Read whyWhat an AI CRM actually is, how it differs from Salesforce and HubSpot, what to look for, and the stack it replaces for a growing team.
Read the guideWhat a fractional CRO costs, what revenue software can and cannot replace, and how growing teams end up getting both.
Read the comparisonThe BPO AI tooling landscape, agent certification and QA at scale, how to pilot, how to budget, and what to watch out for.
Read the guideWhat a sales playbook should include, and how to generate a complete, company-specific one from a short intake instead of weeks with a consultant.
Read the guidePlain-English definitions of the terms behind modern selling: MEDDIC, SPIN, ICP, fractional CRO, conversation intelligence, and more.
Read the glossaryIn the pipeline
Want one of these now? Email us at support@thedealmentor.ai - early drafts are shareable on request.
Editable financial model finance teams can plug their own assumptions into - attrition rates, coach loaded cost, expected lift, ramp time. Output: 12-month and 24-month P&L impact.
What we have seen work and fail on Philippines BPO floors at 100-1,500 agent scale - rollout pitfalls, training cadence, supervisor adoption, US/UK client management.
Real-talk on what speech-analytics QA AI does and does not replace. When you still need humans, what coaching cadence makes the AI scoring actually useful, and the right mix.
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We write most of these in response to actual operator questions. If you have one - on AI tooling selection, pilot design, agent training cadence, supervisor workflow, whatever - send it. The answer often becomes the next piece on this page.