Travelmatic
12 month engagement.
61%
less manual work
5.0x
ROI
“They operate like our in-house engineering team, fast and invested.”
AI Solutions
AI agents that execute enterprise workflows, with oversight built in.
Not chatbots that answer questions. Coordinated agents that take real actions across the systems your organisation already runs on, under controls your compliance team will accept.
HIPAA awareSOC 2 (in progress)ISO 27001 (in progress)5.0 on Clutch
Where organisations get stuck
Our chatbot pilot worked in a demo and never scaled.
Automation breaks the moment a process hits an exception.
Compliance blocked the rollout because there was no audit trail.
Volume is growing and the only lever we have is hiring.
The cost of getting this wrong
Operational cost that scales with volume
Every new customer, patient or order adds manual work, so growth increases headcount instead of margin.
Pilots that never reach production
Single purpose bots handle the happy path and collapse on real world exceptions, so nobody trusts them with live work.
Unmanaged autonomy risk
Agents taking actions without approval, logging or reversibility create compliance and reputational exposure.
Fragmented tooling
Point automations bolted onto individual tools create a sprawl nobody owns and no one can audit.
What we deliver
Multi agent architecture design
We design a system of specialised agents with defined responsibilities, handoffs and escalation paths. The architecture is documented before a line of code is written.
Task specific agents
Research, outreach, intake, scheduling, support, document processing and back office agents, each built for one job and tuned on your data. Specialisation is what makes them reliable in production.
Orchestration and handoffs
A coordination layer routes work between agents and to humans when confidence is low. Nothing gets stuck in a dead end.
Enterprise system and API integration
Agents act inside your CRM, ERP, EHR, ticketing and communication tools rather than in a separate interface. Work happens where your team already operates.
Human in the loop approvals and guardrails
Every agent can run in draft mode, approval mode or full auto, configured per workflow. You decide how much autonomy each process gets.
Monitoring, audit logging and observability
Every action is logged, attributable and reversible, with dashboards showing throughput, accuracy and exception rates. Built for audit from day one.
How we deliver
Phase 1
Map the process
Document the real workflow including exceptions, approvals and edge cases.
- Deliverable:
- Process map and automation candidate list.
- Timeframe:
- Weeks 1 to 2
Phase 2
Design the agent system
Define agents, responsibilities, handoffs, guardrails and success criteria.
- Deliverable:
- Agent architecture document.
- Timeframe:
- Weeks 2 to 3
Phase 3
Build
Develop and evaluate each agent against a test set drawn from your real cases.
- Deliverable:
- Working agents with measured accuracy.
- Timeframe:
- Weeks 4 to 8
Phase 4
Integrate and secure
Connect to production systems, implement access control, approval flows and audit logging.
- Deliverable:
- Integrated, secured deployment.
- Timeframe:
- Weeks 8 to 11
Phase 5
Deploy and monitor
Phased rollout with monitoring, tuning and team enablement.
- Deliverable:
- Production system, dashboards and runbooks.
- Timeframe:
- Weeks 11 to 14
What you get
- Agents running in production against real volume.
- An orchestration layer with documented handoffs.
- Configurable approval workflows per process.
- Full audit logs of every agent action.
- Monitoring dashboards for throughput and accuracy.
- Runbooks and team training for ongoing ownership.
Security, governance and compliance
- Human in the loop approval configurable per agent and per workflow.
- Every action logged, attributable and reversible.
- Role based access control.
- No client data used to train foundation models.
- Model providers bound by contractual confidentiality and no training terms.
- Data residency options where required.
Integrates with your existing stack
Systems we connect to
SalesforceHubSpotZohoSAP and ERP systemsServiceNowEHR and practice management systemsTwilioWhatsApp BusinessGmail and OutlookSlack and TeamsZoomCalendarsStripeCustom REST APIs and webhooks
Technology we use
Platforms and frameworks
OpenAIAnthropicGeminiLangChainAgent orchestration frameworksVector databasesPythonNode.jsRedisPostgreSQLAWSAzureGoogle Cloud
Proof
Aggregate results from Appnox engagements. Individual outcomes vary by scope and starting point.
My Dental Touch
+38%
booking conversion
62%
fewer missed calls
4.2x
ROI
How we engage
AI Readiness Assessment
A fixed scope, fixed price assessment that produces a costed, prioritised plan before you commit build budget.
Production Build
A senior delivery team building and shipping the system to production, with agreed scope, milestones and success criteria.
Dedicated Pod
A monthly engineering pod embedded with your team for continuous delivery, iteration and support.
You own all IP. We never train foundation models on your data.
Frequently asked questions
High volume, rule guided processes with clear inputs and outputs are the best candidates: intake, scheduling, follow up, document processing, qualification, tier one support and routine back office work. Processes requiring genuine judgement, negotiation authority or regulatory sign off should keep a human in the approval path, which our architecture supports.
Talk to us
Talk to an AI Solutions Architect
Tell us what you are trying to solve. A senior architect, not a salesperson, will reply within one business day with a view on scope, sequence and realistic timelines.
- Senior team, no junior handoff after the pitch.
- Fixed scope and fixed price wherever the scope allows it.
- You own all IP, source code and documentation.