Content Creator Agent
A productive agent that generates emails, summaries and commercial pieces on demand.
Autonomous Marketing Agent
Content Creator
Generation, optimization and writing of hyper-personalized commercial content directly in your CRM, respecting your brand's unique voice and tone.
Intelligence Engine
Technology Stack
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Google Gemini
ClaudeEditorial generation aligned with your brand
Diagnosis
From manual writing to AI-assisted content por IA
We address the causes that make commercial content slow and inconsistent before scaling volume.
Current situation / Problem
- Marketing and sales teams spend hours drafting emails and summarizing deals.
- Lack of consistency in the company's communication tone.
- Loss of context in lengthy email threads.
Awtana Solution
- Automatic drafting of hyper-personalized emails tailored to the deal stage.
- Parameterized knowledge base that guarantees corporate identity.
- Automated executive summaries in 3 key points inside the CRM record.
Roadmap
Deployment work phases
A governed editorial rollout, with verifiable deliverables at the close of each phase.
- Phase 00
Knowledge Base & Brand Voice
Gathering of value proposition, glossary, buyer personas and documented definition of voice and tone.
Brand Voice guide approved.
- Phase 01
Prompt & Model Parameterization
Design of prompt templates per use case and selection of the right model based on cost and quality.
Prompt library validated.
- Phase 02
CRM Integration
Connection with Marketing Hub and Sales Hub: generation within sequences, deal records and sales emails.
Agent operating inside the CRM.
- Phase 03
Quality & Acceptance Monitoring
Editorial review, measurement of generated content's acceptance rate and continuous prompt tuning.
Acceptance rate measured and improving.
Deliverables
What you receive when deploying the agent
Productive, measurable assets, ready to operate with your marketing and sales team.
RESULTS & CLIENTS
- 10+
- Years of experience
- 300+
- Projects delivered
- 98%
- Customer satisfaction
Great learning experience
“Excellent help with everything related to automations depending on the version you have, 100% recommended. Total gratitude to Nicolás Losada for all his collaboration.”
Verified HubSpot Partner Review
Brand Style Guide in Prompt
Voice, tone, approved vocabulary and restrictions encoded in the instruction layer.
Automated Generation Workflows
Automations that produce content based on the deal stage or contact activity.
Metrics Dashboard
Volume generated, editorial acceptance rate and token consumption per use case.
Investment Model: Setup Fee + Monthly Retainer.
Frequently asked questions
How does the agent ensure the brand's tone and voice?
The agent operates with a style guide loaded into its knowledge base and approved examples of previous content.
- Voice guidelines, permitted vocabulary, and prohibited terms.
- Reference examples by format and channel.
- Human review before publication for critical formats.
Is information shared with the agent used to train models?
No. Operations are governed by zero-retention agreements: data sent to the models is neither stored nor used for training.
- Enterprise APIs with contractual zero data retention.
- Data isolation by customer, with no shared context between instances.
- Encryption in transit and credentials managed in a secrets vault.
- Option to mask sensitive fields before sending them to the model.
Does the agent use RAG or fine-tuning to understand the business?
It uses RAG with the company's own knowledge base, allowing information to be updated without retraining the model.
- RAG: retrieves documents, policies, and catalogs before responding.
- Immediate updates when a source document is uploaded or modified.
- Fewer hallucinations: every response is grounded in verifiable content.
- Fine-tuning is reserved for style or format adjustments.
What formats and channels does it cover?
It covers blog articles, posts for professional networks, email sequences, product descriptions, and short scripts.
- Blog and web: articles optimized for search and AEO.
- Social media: LinkedIn, Instagram, and Facebook.
- Email: nurture sequences and one-off campaigns.
Is the generated content original and verifiable?
Yes. Content is generated from internal sources and cited references, with an originality review before publication.
- Grounding in the company's own documents and data.
- Citations and links to sources when citing external data.
- Human approval workflow before publication.
Who approves posts before they go live?
The company defines the level of autonomy: from mandatory approval for each piece to automatic publication on low-risk channels.
- Assisted mode: everything goes through human approval.
- Mixed mode: autonomy on social media, approval for blog and email.
- Record of who approved each piece and when.
How long does implementation take?
From 5 to 6 weeks onward, depending on the number of connected channels and the size of the existing content archive.
- Week 1: style guide and reference uploads.
- Weeks 2-4: agent development and channel connections.
- Weeks 5-6+: pilot pieces, calibration, and editorial calendar.
What is the investment model?
A deployment Setup Fee plus a monthly retainer covering tokens, monitoring, and editorial adjustments.
- Monthly volume of content pieces agreed upon by contract.
- Additional channels quoted separately.
- Monthly performance report on published content.