A warm first impression
Capture the enquiry while your team stays focused on the customer or job in front of them.
ANNA OS and models
Proposed capabilitiesThe operating layer behind your super agent team.
ANNA OS coordinates roles, models, memory, tools and policy across ASAMIA. It gives your digital team a shared way to receive work, take authorised action and report what happened.
The right model for the task
Use the proposed ANNA default offering, choose an approved hosted model or connect a compatible model endpoint of your own. Match reasoning, vision, speed and cost to the role.
Choice with operational control
Filter the model catalogue by capability, context limit, region, price and provider. Set approved defaults, budget limits and fallback behaviour. A fallback must respect the same data and residency requirements as the primary route.
One team, multiple kinds of work
Route a simple administrative action differently from a complex planning task. Keep image and video generation in clearly identified media workflows, with their own supported providers and costs.
Client implementations. Strictly confidential.
Explore our approach to anonymised client stories and illustrative ANNA OS applications. Client names, implementation details and testimonial excerpts are shared only with approval.
ANNA OS case studiesModel catalogue · Not connected
Provider-authorised model records are not supplied. Model availability, costs, regions and evaluation results remain unverified.
ASAMIA capability catalogue
Explore the capabilities.
Technical requirements, operating controls and workspace availability for every documented capability, organised by ASAMIA product family.
Intelligence · ASAMIAAgent orchestration
ASAMIA orchestrationRole-based digital employees coordinate responsibilities, tools and approval boundaries.
Role instructions, tool scopes, task triggers, handover context and approval rules define each agent configuration.
- Role instructions and responsibilities
- Tool and skill registration
- Multi-agent task delegation
- Context-carrying handovers
- Proactive scheduled updates
- Event-triggered work
- Reusable workflow templates
- Human approval checkpoints
- Pause and escalation controls
- Sandboxed skill evaluation
- Plugin version review
- Least-privilege tool access
Production boundary
Production execution requires an authorised runtime, scoped connections and approved workflow tests.
Intelligence · ASAMIALearning & skill development
ASAMIA learningCapture feedback and develop reusable, owner-reviewed procedures.
Task feedback, skill versions, evaluation cases and rollback records support a controlled improvement cycle.
- Task routing between agent runtimes
- Reusable learned skills
- Operator-reviewed skill promotion
- Feedback capture
- Task-specific skill selection
- Skill evaluation and rollback
- Procedure improvement proposals
- Scheduled learning review
Production boundary
New skills cannot expand access or change consequential behaviour without review.
Intelligence · ASAMIAKnowledge & memory
ASAMIA knowledgeRetrieve approved business knowledge with role-scoped memory.
Document indexing, lexical and semantic retrieval, citations, retention and correction policies define the knowledge layer. Retrieval capacity is distinct from a native model context window.
- Document indexing
- Hybrid lexical and semantic search
- Retrieval reranking
- Role-scoped memory
- Business procedure recall
- Conversation summary memory
- Owner-approved memory updates
- Memory correction and deletion
- Retention policy design
- Source citation tracking
- Knowledge freshness review
- Retrieval evaluation
Production boundary
Production memory requires source ownership, access rules, deletion controls and tested retrieval quality.
Intelligence · ASAMIAModel choice & ANNA LLM
ANNA OS powered ASAMIA AIMatch business tasks to approved reasoning, vision and creative model policies.
Routing policies specify modality, data region, cost, access and evaluation criteria. BuildLab provides live AI role recommendations and editable workflow drafts.
- Proprietary base-model policy
- Bring-your-own model policy
- ASAMIA model catalogue review
- Reasoning model selection
- Vision model selection
- Image model selection
- Video model selection
- Cost and region evaluation
- Model evaluation records
- Data retention review
- ASAMIA AI access controls
- Human-approved model changes
Production boundary
Model-policy controls in this workspace do not change the live recommendation service or configure production access.
SAM · Super Agent Model
First impressions matter. So does the follow-through.
A custom role with your knowledge, a professional voice and clear authority — built to keep enquiries and work moving.
Turn enquiries into next steps
Capture location, job details and availability, then prepare a booking your team can confirm, reschedule or decline.
Continue the conversation
Retrieve relevant customer context so callers need not start from scratch, within your access and retention rules.
Work on your terms
Separate sales calls from genuine jobs, prioritise follow-ups and keep sensitive commitments with the person responsible.
Capabilities are scoped and tested for your deployment; the workspace demonstrates sample business actions.
Build the team your business needs next.
Bring one process or your wider operating plan. We’ll help you map the roles, connections and controls for an ASAMIA deployment.
Meet SAM · Super Agent Model