Step 1
Guided onboarding
Structured prompts walk you through brand voice, products, terminology, and compliance rules during initial setup.
Every agent speaks your language from day one
Company context is the foundation layer. It encodes your brand voice, products, terminology, and compliance rules so every agent output is on-brand without manual correction.
Without company context, every AI output starts from zero
Generic AI tools know nothing about your organization. Every prompt requires re-explaining who you are, what you sell, how you speak, and what rules apply.
The result is inconsistent output across teams — different terminology in proposals, wrong product names in client communications, and compliance language that misses your legal requirements.
Scaling AI adoption means scaling this inconsistency, because each team member teaches the AI differently, or not at all.
What company context captures
Company context is the organizational layer that every agent inherits. It defines who you are as a business: your identity, your offerings, and your rules.
This includes brand voice and tone guidelines, your full product and service catalog, approved terminology and naming conventions, legal and compliance constraints, industry-specific regulations, and organizational values that shape communication.
It is maintained centrally and applies to every agent across every team — the single source of truth for how your organization presents itself.
How company context gets built
Step 2
Document import
Upload existing brand guidelines, product sheets, and policy documents. AI extracts and structures the relevant context automatically.
Step 3
Continuous refinement
As teams use agents, Sempleo detects inconsistencies and suggests updates. Admins approve changes from a central dashboard.
What lives in company context
Brand voice & tone
Formal vs conversational, technical depth, humor tolerance, and stylistic preferences that define how your organization communicates.
Product & service catalog
Names, descriptions, pricing tiers, and positioning for every offering — so agents never invent features or misrepresent capabilities.
Approved terminology
Controlled vocabulary for industry terms, internal jargon, and brand-specific language that agents must use consistently.
Legal & compliance rules
Mandatory disclaimers, regulatory language, data handling statements, and jurisdiction-specific requirements applied to relevant outputs.
Competitor positioning
How to reference competitors, approved comparison language, and positioning guidelines that prevent off-message output.
Organizational values
Mission, vision, and principles that subtly shape tone and framing across all agent-generated content.
How agents use company context
Every agent run starts by loading company context into its system prompt. This means a proposal agent uses your exact product names and approved claims. A research agent follows your terminology conventions. A client communication agent writes in your brand voice.
The impact is immediate: first drafts come back sounding like they were written by someone who has worked at your company for years, not by a generic language model that just learned your name.
For organizations with strict compliance requirements, this layer is the difference between AI output that can go to clients and output that needs legal review on every send.
See company context in action
Proposal Writing
Watch how brand voice and product knowledge produce client-ready proposals.
Consulting Firms
See how firms encode methodology and compliance into every agent interaction.
See how your brand translates to AI output
Book a demo and we will configure company context with your actual brand guidelines.