AI agents for the work your team does.
Connect your knowledge and tools to focused AI assistants - for sales, support, content and operations - with people in control of the next step.
Try the SalesBot demoWe need a customer portal connected to our CRM.
Web applications · API integrations
Use the relevant information. Keep missing context visible.
Start with a web application and a scoped CRM integration. Confirm users, existing tools and the first workflow before estimating.
A consultant reviews scope and follows up.
A customer needs to change an order that has already shipped.
Order changes · Dispatch exceptions
Use the relevant information. Keep missing context visible.
Changes after dispatch need a support review. Collect the order reference and explain the next step instead of promising a change.
A support specialist decides what is possible.
An integration has stopped responding. What should we check?
Integration timeouts · Escalation policy
Use the relevant information. Keep missing context visible.
Check the provider status and recent changes, then collect the error trace. Prepare a recovery proposal; do not restart a service without permission.
The on-call owner approves the recovery action.
Different roles. A shared working standard.
Choose a role to see what it can prepare, the information it uses and where a person takes over.
Savo SalesBot
Talks to every visitor the moment they arrive, answers product questions, scores intent and books meetings straight into your CRM.
- Trained on your product docs, pricing and FAQs
- Lead scoring against your ideal customer profile
- Calendar booking with routing to the right rep
- Full conversation transcripts synced to your CRM
We need a customer portal connected to our CRM.
Web applications · API integrations
Use the relevant information. Keep missing context visible.
Start with a web application and a scoped CRM integration. Confirm users, existing tools and the first workflow before estimating.
A consultant reviews scope and follows up.
Savo SupportAgent
Absorbs the repetitive share of your ticket queue and escalates edge cases to humans with full context attached.
- Tier 1 resolution across chat, email and widget
- Multilingual conversations at native quality
- Human handoff with summarized context
- CSAT capture and weekly quality reports
A customer needs to change an order that has already shipped.
Order changes · Dispatch exceptions
Use the relevant information. Keep missing context visible.
Changes after dispatch need a support review. Collect the order reference and explain the next step instead of promising a change.
A support specialist decides what is possible.
Savo RecruitAI
Screens resumes, runs structured first-round chats and ranks candidates against your scorecard, bias audited.
- Resume screening against a custom scorecard
- Structured async first-round interviews
- Ranked shortlists with per-candidate evidence
- Bias audit report for every hiring cohort
Summarise this application against our backend role scorecard.
API experience · Testing · Database work
Use the relevant information. Keep missing context visible.
API and database experience are described. Evidence of automated testing is incomplete - flag it as a question for the interview, not a rejection.
A recruiter checks the evidence and makes the decision.
Savo InsightAgent
Answers data questions in plain English, keeps live dashboards current and flags anomalies before they cost money.
- Plain-English queries over governed SQL
- Live dashboards your team can trust
- Anomaly alerts on revenue and ops metrics
- Row-level security and query audit logs
What information do we need to explain a change in orders?
Orders · Channels · Reporting periods
Use the relevant information. Keep missing context visible.
Compare equivalent periods and separate channels. Check missing records before treating a change as a trend. Include the query with the answer.
An analyst validates the query and interpretation.
Savo ContentAgent
Drafts brand-aligned marketing copy, SEO pages and social posts in your voice, with human approval built in.
- Brand voice model trained on your best copy
- SEO-aware landing pages and articles
- Multichannel social drafts on a calendar
- Human approval gate with revision history
Draft a short introduction for our new customer portal.
Brand guidance · Portal capabilities
Use the relevant information. Keep missing context visible.
Your account, in one place. View requests, share documents and keep your team up to date. Check the feature names and claims before publishing.
An editor checks facts, wording and channel requirements.
Savo OpsAgent
Triages incidents, runs remediation runbooks and posts status updates to your channels, including at 3 a.m.
- Alert triage ranked by customer impact
- Automated remediation via your runbooks
- Plain-language status posts to Slack and email
- Full incident timeline for every review
An integration has stopped responding. What should we check?
Integration timeouts · Escalation policy
Use the relevant information. Keep missing context visible.
Check the provider status and recent changes, then collect the error trace. Prepare a recovery proposal; do not restart a service without permission.
The on-call owner approves the recovery action.
Useful intelligence needs clear boundaries.
The model is only one part of the system. Explore the information, permissions and review paths around it.
Relevant information
Select useful sources, respect access and make the supporting context available. Missing or stale information should be visible, not silently filled in.
Bounded actions
Specify what the system may read, prepare or change. Sensitive actions need the right permission and, where appropriate, a person's approval.
Evaluation & fallback
Test routine questions, incomplete inputs and difficult cases. Define when to ask, stop, retry or hand off rather than assuming every answer is correct.
An operating plan
Agree who reviews usage, handles incidents and maintains prompts, data or integrations. Monitoring, cost controls and review records depend on the deployment.
AI is not always the answer.
Clear rules may be simpler. Thin information may need attention first. For sensitive decisions, AI can prepare context while a qualified person decides.
Explore AI strategyA clear path from idea to operation.
Start with a focused scope. Make the information, evaluation and operating responsibilities part of the work.
Scope the job
Define the workflow, the information it needs and the actions it is allowed to take.
Connect the knowledge
Prepare retrieval, integrations and access around your actual systems.
Test the boundaries
Evaluate useful answers, failure cases, approval steps and human handoff.
Launch with supervision
Start with agreed limits, review real usage and adjust the system with evidence.
Illustrative delivery stages. Scope and timing are agreed for your project.
Find the right kind of AI work.
An agent, a connected workflow, a product feature or a data model. The starting point depends on the problem.
A clearer view of AI, before you build.
Practical reading on choosing the right approach, connecting your knowledge and evaluating an AI partner.
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Illustrative editorial covers, not client project screenshots.
Explore all insightsA few things worth asking.
Practical answers about scope, information and what happens after the first build.
Timing depends on the workflow, the state of your information and the integrations involved. We define the first useful scope and the evaluation work before agreeing a delivery plan.
That depends on the agreed architecture and model providers. We review hosting, access, retention and provider terms with you. A private deployment may be appropriate, but data-location and confidentiality requirements need to be confirmed in the project scope.
We define permitted reads and actions, approval steps, escalation rules and review records. Sensitive actions can require a person to approve them. These boundaries are tested and revised with the team that operates the agent.
They can be connected within a workflow, with a defined responsibility and permission boundary for each part. For a straightforward task, one agent or a rule-based automation may be a better starting point.
No. When the rules are clear and the inputs are consistent, an integration or rule-based automation may be simpler. An agent is worth considering when a task needs language understanding, retrieval or tool selection, with a suitable review path.
The workflow should have an agreed fallback: ask for more information, stop an action, use a simpler route or hand over to a person. AI can still produce incorrect answers, so testing and ongoing review are part of the work.
AI project questions
Start with the work you want to change.
Tell us the task, the systems involved and where your team needs help. We’ll work out whether AI, automation or a simpler approach fits.