AI chatbot for people ops consultancies: qualifies engagements and routes by domain
Stop running the same intake call ten times a week. SleekAI walks founders through your people ops domains, qualifies by stage and pain, and books only fits, using OpenAI, Anthropic, Google, or OpenRouter with your own API key.
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People ops consulting needs different conversations for different stages
Most people ops engagements split by company stage rather than service line. Seed-stage clients need a first set of policies and an HRIS picked. Series A and B clients need an org design, comp banding, and a performance system. Late-stage clients need scale playbooks, manager training, and people analytics. A single contact form forces all three into the same flow. SleekAI runs the right conversation for each stage on the page itself, so the engagement lands shaped from message one.
The bot reads your engagement playbooks, your fee model, and your case studies from WordPress (post types, ACF fields, taxonomies, the data-source wizard handles each). When a Series A founder asks about org design, the bot describes the typical engagement (role architecture, levelling, manager toolkit), quotes the fee range, and surfaces case studies by company size. When a 200-person company asks about manager training, the bot routes to the leadership lead with the right context.
BYO API key means OpenAI, Anthropic, Google, or OpenRouter and you pay only your provider. Conversation logs stay in WordPress with model name, token usage, and page URL, so the firm sees which stage pages generate which inquiries and where the next sample case study or playbook would do the most good.
Workflow
How SleekAI handles people ops consultancy inquiries
Identify stage and domain
Ground in your playbooks
Anchor on pain
Hand off the real ones
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A typical people ops consultancy conversation
Comparison
Generic chatbot vs SleekAI for people ops consultancies
Generic chatbot
- Doesn't know your engagement playbooks or fee ranges
- Treats Series A and Fortune 500 inquiries the same
- Misses the difference between org design, comp, and leadership work
- Books calls without confirming stage or scope
- Can't surface case studies by stage or industry
SleekAI chatbot
- Reads engagement playbooks and fees from your CMS
- Routes by stage (seed, Series A-B, late-stage) and domain
- Qualifies pain (comp, attrition, performance, scale)
- Quotes a polite no when the engagement won't fit
- Logs every conversation with model and page URL
Features
What SleekAI gives you for People ops consultancies
Stage-aware engagement
The bot identifies company stage in the first two messages and runs the right qualifying conversation for each (seed, Series A-B, late-stage) rather than a one-size-fits-all flow.
Domain routing
Org design, comp banding, performance, leadership, people analytics. Each domain has different qualifying questions and routes to a different lead in the firm.
Pain-anchored proof
When a founder names a specific pain (comp confusion, attrition, scaling chaos), the bot surfaces case studies that solved the same pain rather than a generic case study list.
Use cases
Where people ops consultancies use SleekAI
Org design
Founders find the right engagement (role architecture, levelling, manager toolkit) in one conversation instead of bouncing between three services pages and a fees PDF.
Comp and banding
Comp engagements get qualified by current state (no banding, partial banding, broken banding) and stage so the scoping call walks in with the work shape already understood.
Leadership and manager work
Manager training and leadership development inquiries get qualified on team size, current state, and timeline so the engagement is sized correctly before the partner gets involved.
The bigger picture
Why people ops intake needs to anchor on stage and pain
People ops consulting is a domain where the same words mean different things at different company sizes. "Org design" at a 30-person Series A means "draw your first real org chart and define how roles relate to each other." "Org design" at a 500-person Series D means "untangle five years of organic structure into a coherent operating model." Both clients land on the same services page, and a generic contact form treats them the same. The result is a scoping call that opens with twenty minutes of "so what stage are you at?" before anyone can actually talk about the work.
A chatbot that identifies stage in the first two messages and runs the right qualifying conversation for each replaces that twenty minutes of every call. The pain anchor is the second big win. People ops engagements almost always trigger off a specific pain: comp confusion, attrition, a botched performance cycle, a failed manager promotion, a scale moment where the org broke.
A bot that asks "what's pushing the timing?" early in the conversation surfaces the actual pain rather than the generic problem statement that the contact form would catch. The scoping call then opens on the real issue with the relevant case study already in context, and the partner walks in with the picture drawn. The domain routing layer matters more than it looks.
Most people ops firms have a comp lead, an org design lead, a leadership development lead, and someone on people analytics. Each one runs a different style of scoping call. A bot that routes by domain to the right lead, with the conversation transcript attached, means the scoping call is with the person who actually does the work rather than a generalist partner who then re-routes internally.
That single change cuts a week off most engagement starts. And because the conversation logs sit in WordPress with the model name, token usage, and page URL captured, the firm gets a structured view of which stage pages generate which kinds of inquiries, which is the kind of marketing intelligence that turns the website from a brochure into a real intake system.
Questions
Common questions about SleekAI for People ops consultancies
Stage is the single biggest filter for people ops engagements. The system prompt encodes the firm's stage focus (seed playbooks, Series A-B sweet spot, late-stage) and the bot asks about company size and stage in the first two messages. A pre-seed inquiry asking for org design typically gets a polite redirect to a self-serve resource or a peer firm, because pre-seed companies usually don't need a full engagement yet.
 Yes. Each domain (org design, comp, performance, leadership, people analytics, DEI) has different qualifying questions and routes to a different lead. The bot identifies the domain from the first message and runs the right conversation. If an inquiry crosses domains (very common at Series A and B), the bot captures the full picture and books a scoping call with the right cross-domain partner.
 Yes. Fee ranges per engagement type live in postmeta or on a services page, and the bot quotes the same numbers your proposals do. When you update a fee or shift an engagement structure, the next conversation reflects it without any retraining. For ranged fees, the bot quotes the range and then asks the qualifying questions that narrow the number toward a specific quote.
 Yes. Case studies live as a custom post type with stage, industry, and domain taxonomies. SleekAI filters by taxonomy, so a Series A SaaS org design inquiry surfaces Series A SaaS org design case studies, not a Fortune 500 leadership engagement from three years ago. For long case study libraries the OpenAI Files vector store handles retrieval so the bot picks the most relevant two or three.
 SleekAI logs every conversation in WordPress, and people ops consultancies typically use a Zapier or webhook trigger to push transcripts into HubSpot, Pipedrive, or Notion. The conversation summary plus the qualifying answers (stage, domain, pain, timing, stakeholders) end up as a fully-shaped lead record so the partner walks into the scoping call with the picture already drawn.
 Yes. Encode the firm's typical floor (company size, engagement scope, geography) in the prompt. When a prospect doesn't fit, the bot says so politely and points to a relevant resource: a downloadable framework, a peer firm referral, or a self-serve guide. They leave with a useful next step instead of a wasted scoping call, and the partner's calendar stays clean.
 BYO API key means OpenAI, Anthropic, Google, or OpenRouter, your choice. For most people ops consultancy sites a mid-tier model handles stage routing and domain qualification easily. If the firm does a lot of nuanced leadership and culture work where tone matters more than retrieval, a stronger model is worth the spend. Token usage is logged per conversation so the cost picture is visible from day one.
 Most people ops inquiries come from logged-out founders or HR leads browsing late at night. The bot captures email at the booking step rather than gating the conversation upfront. For firms that run a logged-in member area (e.g., for retainer clients accessing playbooks), the bot can detect the logged-in state and serve a different system prompt that handles member-specific questions instead of repeating intake.
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