Services
Choose the right route: consultancy, engineering delivery, or AI adoption.
Start with the route that matches the risk: audit a workflow, deliver full-stack product work, build a tailored platform, add AI with evaluation, or stabilise an existing application.
Need help choosing the right route? Share the product, workflow, or AI system and we will map the safest next step.
Start a projectWays to work with FoxTech
Workflow audit
Why it matters
Use this when the problem is clear but the right build is not.
What FoxTech does
We map the workflow, systems, roles, data, risks, and best next step.
Client benefit
- You know what to automate, integrate, rebuild, simplify, or leave alone.
Contract software engineering
Why it matters
Use this when you need senior delivery capacity on a product, platform, or application team.
What FoxTech does
We contribute full-stack implementation, architecture decisions, feature delivery, integration work, and engineering review.
Client benefit
- You get delivery support that can move from code to product context without losing the operating detail.
Custom operating platform
Why it matters
Use this when off-the-shelf tools cannot model the real service.
What FoxTech does
We build portals, dashboards, workflows, tasks, payments, integrations, and reporting.
Client benefit
- The system matches your roles, data, handoffs, and decisions.
AI adoption and evaluation
Why it matters
Use this when AI is promising but the operating boundary, data risk, or evaluation path is unclear.
What FoxTech does
We prototype the AI workflow, define review controls, build evaluation harnesses, and separate useful automation from risky claims.
Client benefit
- AI adoption becomes measurable, reviewable, and easier to explain to stakeholders.
Automation and AI controls
Why it matters
Use this when repetitive admin is slowing service delivery.
What FoxTech does
We automate documents, inboxes, reminders, summaries, routing, and reporting with review points.
Client benefit
- Admin reduces while sensitive decisions remain reviewable.
Context and agentic tooling
Why it matters
Use this when teams want agents, retrieval, local AI, or AI-assisted engineering to work with real project context.
What FoxTech does
We shape context pipelines, tool access, memory, review loops, and evidence capture around the work agents need to do.
Client benefit
- Agentic systems become easier to inspect, bound, and improve over time.
Existing app support
Why it matters
Use this when a current app is useful but unreliable, under-scoped, or hard to extend.
What FoxTech does
We stabilise, improve, extend, integrate, and document what already exists.
Client benefit
- You keep useful foundations while shipping what the operation needs next.
Software, AI, and engineering capabilities
Full-stack application development
Why it matters
Product-grade web applications, portals, dashboards, APIs, workflows, and data models built around real users and operational constraints.
Typical outputs
- Next.js, React, TypeScript, API, database, and integration delivery
- Role-aware interfaces, workflow states, reporting, and admin surfaces
- Testing, release planning, documentation, and handover evidence
Operations workflow software
Why it matters
Custom workflow software that turns intake, scheduling, sessions, records, payments, handoffs, exceptions, and reporting into a measurable service operating layer.
Typical outputs
- Current-state process mapping and target-state workflow design
- Role-aware tasks, approvals, permissions, and escalation paths
- Operational dashboards, audit trails, and management reporting
Operations optimisation
Why it matters
Technology-led improvements for service teams losing time to manual coordination, duplicated data entry, and low visibility.
Typical outputs
- Bottleneck analysis across people, systems, data, and service levels
- Scheduling, queue management, tracking, and exception workflows
- Integration planning for CRMs, inboxes, spreadsheets, portals, and APIs
AI adoption and automation
Why it matters
Practical AI automation for service inboxes, documents, internal knowledge, triage, and decision support with human review where risk requires it.
Typical outputs
- Document classification, summarisation, extraction, and routing
- Human-in-the-loop AI workflows with clear review and override paths
- Internal agents for triage, research, reporting, and operational support
Agentic and context engineering
Why it matters
Bounded agent workflows, retrieval systems, tool permissions, memory design, and project context pipelines that make AI assistance useful and inspectable.
Typical outputs
- Context engineering for retrieval, source grounding, and tool selection
- Agentic workflow design with review, escalation, and evidence capture
- Local AI, GraphRAG, MCP-style tooling, and specialist-agent patterns
Harness engineering and evaluation
Why it matters
Repeatable evaluation harnesses for prompts, agents, integrations, workflow behaviour, and AI adoption decisions.
Typical outputs
- Golden-path tests, adversarial cases, traces, and review rubrics
- Prompt, retrieval, tool-use, and workflow regression checks
- Evidence dashboards that show what changed and what still fails
AI product and SaaS advisory
Why it matters
Expert software engineering and architecture advisory for service organisations exploring SaaS platforms, AI features, or automation ventures.
Typical outputs
- MVP scope, technical roadmap, and productisation strategy
- Cloud architecture, data model, and integration blueprinting
- AI governance, consent, analytics, and platform policy considerations
What the specialist terms mean
These terms are useful shorthand, but the work should still be easy to understand: better software, clearer context, safer AI adoption, and repeatable evidence that the system behaves as expected.
Context engineering
Why it matters
Plain English: giving AI systems the right source material, tools, memory, instructions, and constraints before asking them to act.
What FoxTech does
FoxTech designs retrieval, source grounding, context packs, permissions, and review loops so AI output is easier to inspect.
Client benefit
- Useful for coding agents, internal knowledge tools, RAG systems, and agentic workflows that need project-specific context.
Harness engineering
Why it matters
Plain English: building repeatable tests and evaluation environments for prompts, agents, integrations, and workflow behaviour.
What FoxTech does
FoxTech creates golden paths, failure cases, traces, review rubrics, and regression checks around AI or automation work.
Client benefit
- Useful when teams need proof that an AI workflow still works after a prompt, model, tool, or data change.
Agentic development
Why it matters
Plain English: building AI-assisted workflows that can use tools, retrieve context, follow operating rules, and hand off to people.
What FoxTech does
FoxTech keeps agents bounded with tool permissions, human review, evidence capture, fallback paths, and release checks.
Client benefit
- Useful when AI needs to do more than answer questions but must remain controlled, auditable, and practical.
AI adoption
Why it matters
Plain English: finding where AI genuinely helps a workflow, then proving it with a small, reviewable implementation.
What FoxTech does
FoxTech separates good automation candidates from risky claims, unclear data boundaries, or workflows that need cleanup first.
Client benefit
- Useful for teams that want AI value without turning sensitive decisions or operational ownership into a black box.
Digital transformation
Why it matters
Plain English: replacing fragmented manual work with software that makes ownership, status, records, and next actions visible.
What FoxTech does
FoxTech maps the workflow first, then builds or integrates the smallest system that improves day-to-day operations.
Client benefit
- Useful when spreadsheets, inboxes, supplier tools, and manual handoffs are carrying a process that has outgrown them.
Full-stack application development
Why it matters
Plain English: designing and building the product surface, API, data model, integrations, tests, and release path together.
What FoxTech does
FoxTech can own a slice from product context and architecture through implementation, verification, and handover.
Client benefit
- Useful for contract delivery, MVPs, internal tools, portals, dashboards, and operational applications.