Custom AI Solutions for Your Business

No surprises. We agree the solution before we quote.

Start with a free 45-minute consultation. We design a solution, agree success measures, then provide a clear quotation. Pricing reflects the scope of your workspace and agents deployed.

Azthena is an ongoing partnership, not a one-off delivery.

Ongoing costs cover expert adoption support, centralised updates across all agents, and continuous optimisation. The value compounds as more workflows are captured and teams build consistent habits. The Azthena monthly charge covers usage costs related to tokens and support. You are not locked into any long-term contracts — if Azthena is not delivering value you can walk away with one month's notice.

We agree the metrics before we build, then report against them.

Typical measures include time saved per workflow, throughput improvements, and cost per task. Example benchmarks from live deployments:

• RFQ processing time reduced by 87%
• Content editing time reduced by 50%

We can model the financial case for your specific workflows before you commit.

Low. You are not committing upfront.

We scope and agree the solution before any build begins. Agents are delivered incrementally, each with defined inputs, outputs, and success measures. If something is not delivering, we know early and course-correct. You can also walk away with one month's notice if you don't feel you are receiving value for money.

We see it before you do.

Error logging is built into the platform. If an agent fails or produces unexpected behaviour, our team identifies where and why. You are not diagnosing problems in isolation. Support covers the full lifecycle: ideation, system audit, deployment, training, and ongoing optimisation.

Your data stays in your workspace. It goes nowhere else.

Your data is not shared with public AI models outside of clearly defined guardrails or used for external training. Access requires two-factor authentication. Usage is fully logged, permission controls are centralised, and every agent conversation and output is available to administrators for review. We align with your IT and compliance teams on internal data policies.

No. Azthena is model-agnostic.

The platform is not tied to any single LLM supplier. The model in use is selected based on your cost and performance requirements at the time of deployment. As the LLM market evolves, we can switch or upgrade the underlying model without rebuilding your workspace. Your agents, workflows, and data remain stable regardless of which model is running beneath them.

We connect to the systems you already use.

CRMs, document libraries, databases, and APIs. We assess your tech stack during the consultation and design integrations that fit your environment. Supported file formats include Word, PDF, PowerPoint, Excel, CSV, JSON, and Markdown.

Hallucination risk is designed out at the architecture level, not managed after the fact.

Three mechanisms work together. First, we frequently deploy a multi-LLM approach where one model checks the output of another before it reaches the user. Second, fixed data fields mean an agent will not operate unless required inputs are present and correctly formatted. Third, template inputs constrain what questions can be asked, removing the conditions under which hallucinations typically occur. Every agent is also grounded in your approved internal sources, not general training data.

You do. Changes apply everywhere, instantly.

Update an agent once and it reflects across every user immediately, with no version fragmentation. Admin tools give full visibility of usage, and permission controls determine exactly what each user can access.

Yes. Every agent conversation and output is fully visible to administrators.

The platform provides complete audit traceability: what was asked, what was returned, and by whom. This supports compliance requirements, internal governance, and quality review. Nothing happens outside your visibility.

Yes. That is how Azthena is designed to be used.

Start with the workflows where the cost or time impact is highest. Validate, then expand team by team. New agents plug into the existing architecture without disrupting what is already running. Depending on the scope and complexity of your workflows, you can be operational within a week.

Data can be hosted in the geography your compliance requirements demand.

The platform runs on AWS. Server and database locations are configurable to match your data residency obligations, whether EU, UK, or otherwise. Our architecture follows privacy by design: data handling is structural, not a policy overlay. Raise your specific requirements at the initial consultation so we can confirm the right configuration before build begins.

All common business file formats are supported.

Word, PDF, PowerPoint, Excel, CSV, JSON, and Markdown. Every file is normalised into a consistent internal format so the AI can query across your knowledge base regardless of source. Version control is automatic: update a file and only changed content is reprocessed. Outdated versions are replaced immediately.

Outputs are grounded in your materials, not generic training data.

Agents draw from your tone guides, past content, brand messaging, and editorial standards. A Tone Editor agent applies your specific guidelines, not a general style. Human review stays in the workflow where brand accuracy matters most.

Azthena handles the mechanical parts of content work so your team can focus on the distinctive parts.

Agents cover tasks including:

• Interview question generation
• Tone and quality editing
• Brief creation and campaign copy
• Audience research

These are the tasks that consume hours of team time without requiring creative or strategic judgement.

Without extensive training and customisation, ChatGPT does not know your business. Azthena does.

Agents are connected to your knowledge base, trained on your materials, and constrained to produce on-brand outputs that do not need extensive revision. Every team member uses the same shared agents with the same inputs, not a different personal prompt.

Simpler agents can be live within days of sign-off.

Tone editors and content brief generators are typically deployed quickly. Workflows integrating external systems take longer. We stage deployment so teams see value early, not after a full build is complete.

Yes. It is a core part of how the workspace works.

Upload email templates, tone guides, campaign materials, and product documentation. Files are automatically integrated into relevant agents. When assets change, replace the file and all agents update immediately, with no risk of outdated versions in circulation.

The highest-volume tasks in your sales cycle get faster, significantly.

Results from live deployments:

• Prospect background checks: 30 to 45 minutes reduced to seconds
• Proposals: drafted from your inventory in seconds, not an hour
• Sales emails: generated with CRM context and the rep's own voice

Yes. CRM integration is part of the agent design, not an afterthought.

A Prospecting Assistant can check CRM history mid-conversation, surface similar clients and relevant case studies, and draft a proposal using your templates — all in one workflow.

Agents pull from your live data, not from memory.

Pricing sheets, product catalogues, and campaign inventory are connected at the point of use. Every output goes to a human for review before it is sent. Reps get a fast starting point without bypassing their accountability.

Consistency becomes structural, not something individuals have to maintain.

Every rep uses the same shared agents, connected to the same data. Update pricing, messaging, or product information once and it reflects everywhere, for everyone, immediately.

Yes. This is one of the highest-value use cases in the platform.

The prospecting agent connects to your CRM to surface accounts similar to a target: relevant history, sector matches, and comparable campaigns. Data enrichment workflows add firmographic data, enabling geographic segmentation and targeted outreach before direct contact is made. The quality of results scales with the completeness of your CRM data. We include a data assessment in the scoping process.

Repeatable work with a predictable output structure.

Strong candidates include:

• Status reporting and project updates
• Document summarisation and data formatting
• Knowledge lookup and onboarding support
• Lead scoring and workflow handoffs

If your team does the same task repeatedly and the output follows a pattern, it is a strong candidate for an Azthena agent.

That's what the free consultation is for.

We map where time is being lost, then prioritise by volume, time cost, and inconsistency of output. You leave with a clear starting point, not a vague roadmap.

Errors are caught early and fixed in one place.

Structured inputs and defined outputs make errors easier to identify than in open chat tools. Human review is built in for critical workflows. One fix applies across all users immediately, with no individual retraining required.

Most teams are using new agents daily within days of launch, not weeks.

Agents are designed around how teams already work, which reduces the learning curve. We provide hands-on support during rollout and configure agents to fit existing process steps.

Yes. Structured data is one of the platform's strongest capabilities.

Excel, CSV, and JSON files are processed for accurate mathematical operations and cross-dataset queries, not just text retrieval. Users ask natural language questions and receive calculated answers. Tables embedded in PDFs and Word documents are extracted and processed separately. No programming knowledge required.

A native mobile app is in active development for iOS and Android.

Features include access to workspace agents, full workflow history, and voice input — useful for field-based or client-facing roles. The web interface remains primary for configuration and admin. Camera integration for document capture is planned for a subsequent release.