It is practical automation
Small, concrete AI upgrades to your existing workflows, delivered fast.
AI transformation
AI that cuts the busywork
Automate routine tasks in weeks, not months. Each pilot comes with strict guardrails and clear metrics to prove impact.
Proof ready
Fast wins with measurable outcomes
Small pilots, strong safety, and clear ROI signals.
Pilot timeline2-6 weeksworking slice, not slides
ROI signal30-90 daystime saved or revenue lift
GuardrailsDay oneprivacy, approvals, logging
Stack fitYour toolsCRM, helpdesk, ops
Define outcomesBuild a pilotMeasure impactDeploy safelyIterate and scale
What we mean by AI transformation
Practical automation that upgrades one workflow at a time.
It is focused delivery
Clear milestones, real releases, and improvements your team can keep running.
Outcome-led delivery from kickoff to iterationStart small, prove value, and scale with confidence
Not this, instead that
Short clarifiers to keep AI work practical, visible, and safe.
Not a massive rebuild
Targeted fix for one workflow at a time
Not black-box magic
Transparent AI with guardrails your team supervises
Not theory or demos
A working solution in your tools with real users
Reduce support load with grounded self-service answers + seamless escalation.
Shorten lead response time and increase qualified handoffs in sales.
Speed up quoting and proposals using approved content blocks + brand checks.
Cut admin time via intake -> triage -> assignment workflows in ops.
Extract data from documents -> validate -> push to your CRM or ERP.
Surface funnel issues and anomalies faster with AI-guided analytics flags.
Standardize content creation with AI drafts + human review before publish.
Find answers in internal docs instantly with source links for trust.
What you get
Deliverables that move from idea to measurable impact.
Opportunity shortlist
Ranked use-case ideas by ROI versus effort.
Success metrics plan
Defined KPIs and a measurement plan to track value from day one.
Data and access check
Verification of data availability, quality, and permissions.
Working AI pilot
A functional AI solution running in your environment.
Integration into your tools
Connected to your existing apps and workflow, including n8n, with no new silo.
Built-in guardrails
Approved data sources only, role-based access, human approvals.
Testing and tuning
Real-world scenarios tested against acceptance criteria.
Full observability
Logs, dashboards, feedback loops, and cost controls.
Handover package
Runbook documentation, admin training, and support handoff.
AI training and enablement
We train teams to build, adopt, and govern AI safely.
AI fundamentals and readiness
What AI is, what it is not, and where it fits in your workflows.
- Use-case selection by ROI
- Data readiness and quality basics
- Governance and risk framing
Custom AI builder workshop
Learn how to design and ship custom AI assistants in your stack.
- Prompting, tools, and workflow design
- Data grounding and evaluation
- Testing, rollout, and monitoring
Safe and effective ChatGPT use
Clear rules for how teams should use ChatGPT day to day.
- Security, privacy, and red lines
- Quality checks and human review
- Reusable playbooks and examples
Our guardrails
Safety measures that keep AI useful, trustworthy, and controlled.
Least-privilege data access
The AI only sees the minimum data it needs, with your auth rules enforced.
Grounded answers only
Outputs come only from approved data sources, with uncertainty flagged for review.
Human-in-loop approvals
High-risk actions go through a human review queue before they happen.
Rigorous evaluation
Test sets, acceptance criteria, and rollback plans are defined before launch.
Full logging and feedback
Every decision is logged, with alerts and cost caps to avoid surprises.
FAQ
How do you pick the first use case?
We look for a bottleneck that is small enough to tackle quickly and big enough to move a KPI. We map pain points with you and pick the one with the clearest ROI and fastest feasibility.
Do we need perfect data to start?
No. We work with what you already have and constrain scope if data is messy. We can start small and improve as feedback and data quality grow.
How is security and privacy handled?
We implement strict access controls, avoid unnecessary data exposure, and align with your compliance requirements. If third-party AI services are used, we configure enterprise privacy settings and avoid sensitive data when possible.
What tools can you integrate with?
We fit into your existing stack. Common integrations include CRMs, helpdesk tools, Slack or Teams, databases, and Google Workspace or Office 365.
What does success look like for a pilot?
We agree on 1-2 metrics upfront and show the results against a baseline. If the pilot hits the target and your team sees the improvement, it is a success.
How do you price these engagements?
We scope the work in phases with fixed fees for each phase. You can stop after the Sprint or continue into the Pilot and Deploy phases based on value delivered.
Who needs to be involved from our team?
We ask for one point person who knows the workflow. Expect a few hours in week one and light weekly check-ins after that.
What happens after the pilot?
If it works, we can scale it with Deploy + Improve or hand it over with documentation and training. If it does not hit the target, we iterate or pivot to the next use case.
Deploy privacy-aware AI chat agents in your processes, grounded in your documents to orchestrate customer enquiries. Visit waybeam.ai.
Ready to save time with AI?
Get a free quote for a safe, outcome-focused AI pilot. Tell us the process you want to improve, and we will reply with a clear game plan and cost.
Pair AI transformation with websites, mobile apps, and analytics so automation ships with a strong front door and measurable outcomes.