AI Pillar
AI Consulting Services
Get a practical AI roadmap with measurable outcomes—so the first pilot ships fast and the rollout stays safe.
Problems
What’s slowing teams down
Common bottlenecks we see before AI workflows are implemented.
AI initiatives lack sequencing
Without a roadmap, teams build random features and accumulate integration debt quickly.
Data and permissions are unclear
AI projects fail when tool access, RBAC rules, and retention constraints aren’t defined early.
Success criteria are missing
Without KPIs and evals, you can’t prove improvement or prevent regressions after launch.
Governance is bolted on late
Safety and auditability become expensive if added after systems are already running in production.
Delivery
What we deliver
Implementation-ready modules designed for reliability, safety, and real operations.
Use-case + ROI prioritization
A shortlist ranked by business impact, integration effort, and operational risk.
Architecture + integration planning
Choose the right pattern and define tool contracts, permissions, and error handling.
Evaluation strategy
A measurable quality loop: test sets, scorecards, and rollout metrics.
Pilot-first execution plan
A clear pilot scope and milestones, plus a path to production hardening and scaling.
Deliverables
What you’ll get
Concrete outputs designed for predictable handoff and measurable improvements.
Use-case shortlist with ROI/risk scoring
Architecture recommendation (agent/RAG/automation)
Integration map (tools, APIs, permissions)
Evaluation plan (test set + KPIs)
Governance plan (guardrails, approvals, logging)
Pilot plan with timeline and pricing range
Process
How we work
A pilot-first approach, with the quality and governance needed for production rollouts.
Discovery
Workflow mapping and stakeholder alignment.
Feasibility
Data/tool readiness, constraints, and risks.
Architecture
Pattern selection and integration plan.
Pilot plan
Scope, KPIs, rollout, and next steps.
Stack
Suggested implementation stack
A practical stack we can adapt to your constraints and existing systems.
Automations
Example automations
A few workflows that usually deliver ROI quickly.
Support deflection pilot with escalation
Lead qualification + CRM routing workflow
Invoice extraction + approval routing
Ops automation with approvals and audit logs
Start Small
Start small in 7 days
Three pilot-friendly options that reduce risk and ship value fast. Choose one, share access, and we deliver a production-ready baseline.
Standard
AI delivery standard
Quality and safety practices we ship with AI builds so the system stays measurable, maintainable, and production-ready.
Logging + tracing
Conversation and tool traces with request IDs, error visibility, and debug-friendly runbooks.
Guardrails + safety
Tool allowlists, PII-safe patterns, refusal behavior, and escalation routes for edge cases.
Evals + regression tests
Golden queries, scorecards, and regression checks so quality improves over time instead of drifting.
Cost + latency controls
Caching, prompt discipline, retrieval tuning, and routing so your app stays fast and predictable at scale.
Documentation + handoff
Architecture notes, environment setup, and next-step roadmap so your team can iterate safely after launch.
Security-first integration
Secrets isolation, role-based access, audit-friendly actions, and minimal data retention by design.
Pricing
Typical pricing ranges
We confirm scope before starting. These ranges help you plan a pilot versus a full rollout.
Consulting sprint: $600–$2,500
Pilot build (single workflow): $900–$3,500
MVP implementation: $3,000–$12,000
Timelines
Delivery timelines
Common timelines for pilots and production hardening, depending on integrations and governance.
Consulting sprint: 5–10 days
Pilot build: 1–2 weeks
MVP rollout: 2–4 weeks
Risks
Risks & mitigation
The failure modes we design for so reliability and trust stay high.
Choosing the wrong first use case
We rank use cases by impact, integration effort, and risk to recommend the best first pilot.
Compliance surprises
We define data boundaries, retention rules, and approvals early so the build doesn’t stall later.
No measurement loop
We define KPIs and eval queries before implementation so improvements are measurable and repeatable.
AI Case Examples
Micro case studies (anonymous)
A few safe examples of outcomes we build for real operations—no client names, just results.
Governed Support Pilot (Policies + Escalation)
Problem: Support answers were inconsistent and escalations lacked context.
Solution: RAG grounding plus structured handoff summaries for agents.
Outcome: Faster support responses with fewer “wrong answer” escalations.
Ops Workflow Hardening
Problem: Automation failed silently and operators lost trust in the system.
Solution: Retries, audit logs, monitoring, and runbook notes.
Outcome: More reliable workflows with clear visibility and recovery paths.
Relevant Gigs
Start with a fixed-scope gig
Pick a gig to launch a pilot quickly with clear deliverables and timeline.
Compare
Decision guides
Quick comparisons to help you choose the right approach before building.
Related Services
Explore deeper implementations
When you need more depth than a pilot, these services cover full delivery.
Explore
More AI pages
Additional pillars and use cases to help you plan your roadmap.
FAQ
Frequently asked questions
Is this only strategy or do you implement too?
Both. We can deliver a consulting sprint and then build the pilot and rollout, or hand the plan to your team.
What do you need from us to start?
Workflow overview, tool list, sample docs/data, and any security/compliance constraints. We’ll guide what’s needed.
How do you decide agent vs RAG vs automation?
We pick based on the job-to-be-done: grounded answers (RAG), multi-step actions (agents), or event pipelines (automation)—often a combination.
Do you help with governance and safety?
Yes. We define guardrails, approvals, retention rules, and monitoring patterns to fit your risk profile.
Can we validate value quickly?
Yes. We recommend a pilot scope that delivers measurable outcomes in 1–2 weeks.
Will we get documentation?
Yes. Deliverables include diagrams, scope notes, KPIs, and an execution plan.
Want an AI pilot for your workflow?
Start with a fixed-scope gig or request a tailored implementation plan for your systems.