01
Agent servicing workspace
One surface holding the booking, the traveller, the applicable policy and the history, so an agent stops assembling context before every interaction.
Unified contextPolicy-awareOne-step actions
Industry · Corporate travel
At corporate travel volumes, every manual step is multiplied by thousands.
TMCs run on process discipline and thin margins. A servicing step that takes ninety seconds too long is an operating cost, not an inconvenience — and it repeats every working day of the year.
The business problem
The volume is the problem, and also the opportunity.
Corporate travel has the clearest economics of any travel segment: the work is repetitive enough to automate meaningfully, and high-volume enough that small gains are material. The obstacle is usually policy complexity and the number of systems in the path.
Policy varies by client, by cost centre and sometimes by traveller, and lives in several places.
Servicing volume is driven by disruption nobody controls, and it arrives in bursts.
Booking, expense, HR and duty-of-care systems each hold part of the traveller record.
Out-of-hours cover is either expensive or slow, and both are visible to the client.
Onboarding a new corporate client is largely manual configuration work.
Client reporting is assembled by hand from several sources each month.
Our approach
Automate the policy-simple, escalate the policy-complex.
The high-return work in a TMC is rarely the complicated exception. It is the large volume of requests where policy is unambiguous, the answer is knowable and the only thing standing between the traveller and a resolution is an agent's availability.
We separate those from the cases that genuinely need judgement — a policy conflict, a senior traveller, a duty-of-care situation, a client-specific commercial exception — and make sure the second group arrives at an agent with everything already assembled rather than competing for attention with the first.
Client onboarding is the other place where TMCs quietly lose margin. Turning policy configuration into structured data rather than accumulated tribal knowledge shortens onboarding and makes the servicing automation possible in the first place.
- Policy as structured dataClient policy captured in a form systems can apply, rather than in a document agents interpret.
- Tiered servicingPolicy-simple requests resolved or prepared automatically; judgement cases escalated with full context.
- Traveller record consolidationBooking, expense, HR and duty-of-care data brought into one operational view.
- Disruption triageBurst events prioritised by traveller impact and client commitment rather than arrival order.
- Client reportingReporting assembled by the system rather than by an analyst each month.
Capabilities
Where we typically start
Almost always with servicing volume, because that is where the cost concentrates and the measurement is easiest.
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Policy configuration
Client policy as structured, versioned data that both agents and automation can apply consistently — and that a new client can be onboarded into in days rather than weeks.
Structured rulesClient onboardingVersioning
03
Disruption response
Schedule changes and cancellations triaged by impact and client commitment, with prepared traveller communications ready for approval.
TriagePrioritisationComms
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Client reporting automation
Monthly client reporting produced from agreed definitions on a schedule, removing a recurring manual assembly that scales linearly with client count.
ConsolidationDefinitionsDelivery
Delivery model
How the work runs
Scope and sequence are agreed before engineering begins, and every stage is reviewable.
01
Measure the servicing mix
Establish what share of requests are policy-simple versus judgement cases. This single number usually reorders the priority list.
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Structure one client's policy
Take a representative client and turn their policy into structured rules. This exposes how much interpretation agents are currently doing unaided.
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Build the assisted path
Prepared resolutions with agent approval for the policy-simple tier, leaving judgement cases untouched but better supported.
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Prove on one client
Run against the baseline for a single corporate account before widening, so the comparison is real.
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Extend across the book
Onboard further clients into the structured model, which is also what shortens onboarding for new business.
How we work together
A free first step. A scoped investment after that.
Start with a conversation. Commit to scoped work only when a deeper review or a build is genuinely the right next step — and only once the scope is written down.
01
Strategy call
Free20 minutes
One workflow, discussed with a solutions architect. What it costs you today, what is technically in the way, and whether anything further is warranted.
- No obligation
- Solutions architect, not a salesperson
- An honest answer, including "you do not need us"
Most common starting point
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AI Transformation Audit
USD 5,0004 weeks
A scoped review when the picture is genuinely unclear — several systems, an unproven integration, or a decision nobody can size yet.
- Current-system and workflow review
- AI opportunities and integration risks
- Prioritised implementation roadmap
- Recommended scope and investment range
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Implementation
From USD 25,000Scoped per engagement
An agreed priority turned into working software, connected systems or a governed AI workflow, delivered in stages you can release and review.
- Agreed scope and success measures
- Product design and engineering
- Scoped integrations and testing
- Deployment, handover and support planning
Larger platform programmes start at USD 75,000. All figures are in USD and are starting points rather than quotes — scope, integration surface and the number of systems involved move the number. Commercial terms are always confirmed in writing before work begins.
Before we talk
A few useful answers.
It is the reason the model starts with structuring policy. Once policy is data rather than interpretation, client variation becomes configuration rather than a separate process per account. Variation is expected; what causes the trouble is variation held in people's heads.
Duty-of-care sits firmly on the human side of the boundary by default, and we would push back on any design that moved it. What automation can do is make sure the relevant traveller information is assembled and the right person is alerted quickly. The decision stays with your team.
It depends on what they expose and what your agreements permit, which we assess before scope is agreed rather than assuming. We do not imply certification or partnership with any platform we integrate against.
A servicing workspace for one client account is typically a matter of weeks, because the scope is deliberately narrow. The policy structuring work that unlocks the wider gain runs alongside it and is paced by your operations team's availability.
Keep exploring
Related work
Start with a conversation
One workflow. Twenty minutes. A clearer next step.
Bring us the process that is slowing you down, the system that will not connect, or the platform that needs to evolve. We will tell you what we would do about it — and whether you need us at all.
Free · 20 minutes with a solutions architect · No obligation to commission an audit · sales@appnox.ai