Softment

AI Development

Custom GPT Integration Services

We integrate GPT into real product workflows—summaries, extraction, assistants, automation—with tool calling, guardrails, and evaluation so the feature behaves predictably in production.

TimelineTypical: 2–5 weeks (scope-dependent)
Starting at£1.2k
Security-first AI integrations • Evals + logging + guardrails included

Overview

What this service is

This service turns an AI idea into a shipped feature: workflow design, prompt and context strategy, and an implementation that handles real inputs and edge cases.

We use tool calling (functions) where it improves reliability—structured extraction, API actions, or database queries—so outputs are consistent and useful.

You get a production-ready integration with cost controls, monitoring hooks, and fallback behaviour to keep user trust high when the model is uncertain.

Benefits

What you get

AI features that feel reliable

Tool calling and guardrails reduce unpredictable output and improve user trust.

Faster workflows for users and teams

Automate summaries, extraction, and repetitive tasks to save time and reduce manual work.

Cost and latency awareness

Token usage and caching strategies to keep operating costs predictable as usage scales.

Safer production behaviour

Fallbacks, refusal patterns, and permission-aware access where needed.

Easier iteration over time

Evaluation hooks and prompt structure so quality improvements are measurable.

Integration-ready delivery

APIs and workflows built to connect with your product systems cleanly.

Features

What we deliver

Workflow + UX design for AI

We design how the feature behaves: inputs, outputs, user control, and error/fallback UX.

Prompt + context strategy

Structured prompts, retrieval/context rules, and formatting to improve consistency.

Tool calling / function integrations

Connect GPT to APIs and systems safely for actions, lookups, and structured results.

Quality evaluation hooks

Test cases and feedback capture so you can iterate on prompts and tools confidently.

Cost controls and caching

Usage limits, caching, and model selection guidance to keep latency and cost in check.

Deployment + monitoring

Observability hooks and production rollout guidance so issues are traceable and fixable.

Process

How we work

1
2–4 days

Discovery

We define the workflow, inputs/outputs, constraints, and what “good” looks like for the feature.

2
2–5 days

Design

We build the prompt/tool plan, fallback behaviour, and evaluation approach before implementation.

3
1–3 weeks

Implementation

We integrate GPT with your app and APIs, add guardrails, and ship a usable end-to-end flow.

4
3–7 days

Evaluation

We test against representative cases and improve prompts/tools until quality is stable.

5
2–4 days

Launch + Handoff

We deliver monitoring guidance and documentation so your team can iterate and extend the feature.

Tech Stack

Technologies we use

Core

OpenAI APIFunction calling / toolsEmbeddings (optional)Vector search (optional)

Tools

Next.js / React UINode.js APIsRate limitingPrompt evaluation harness

Services

Logging/monitoringSecurity boundaries

Use Cases

Who this is for

Summarisation and brief generation

Turn long threads or documents into structured summaries for teams and customers.

Structured extraction

Extract entities and fields into JSON for CRMs, ticketing, or internal systems.

Support triage automation

Classify requests, suggest replies, and route tickets with context and prioritisation.

Product assistant workflows

Context-aware assistants that can look up data, guide tasks, and perform controlled actions.

Internal automation features

Generate drafts, normalise data, and automate repetitive steps with guardrails and approvals.

FAQ

Frequently asked questions

Yes. Prompt and response workflow design is a core part of delivery, along with evaluation so improvements are measurable.

Yes. We implement tool calling with strict schemas, permissions, and guardrails so actions are controlled and auditable.

We use caching, model selection, rate limits, and workflow design to reduce unnecessary tokens and latency.

Yes. Many teams start with workflow automation and add retrieval once the value is proven and documents are ready.

Yes. You receive full source code and handoff notes for the integration and evaluation hooks.

Regional

Delivery considerations for your region

Compliance & Data (UK/EU)

For UK teams, we default to GDPR-first thinking: data minimisation, purpose-limited storage, and clear access boundaries.

We can work under a DPA (template available on request) and implement practical retention/deletion flows when needed.

  • GDPR-first patterns (minimise, restrict, document)
  • DPA template available on request
  • Retention/deletion and export flows where required
  • Least-privilege access and secure session handling
  • PII-safe logging + secure-by-default configuration
  • NDA available for early-stage discussions

Timezone & Collaboration (UK/EU)

We align to UK time and EU overlap (GMT/BST with CET-friendly windows) for fast feedback cycles.

We keep the process lightweight: async updates, clear priorities, and written decisions to avoid ambiguity.

  • UK/EU overlap with GMT/BST windows
  • Async-first delivery with documented scope
  • Weekly milestones and structured demos
  • Clear escalation path for blockers
  • Tight change control with clear sign-offs

Engagement & Procurement (UK)

We support typical UK procurement flows with clear scopes, change control, and invoice cadence.

If you prefer a discovery-first engagement, we can run a short paid discovery to lock requirements before build.

  • GBP-based engagements and invoicing options
  • Discovery-first option to reduce delivery risk
  • Milestone-based billing when appropriate
  • Transparent change control and sign-offs
  • Vendor onboarding pack on request

Security & Quality (UK/EU)

We build for reliability and maintainability: clean PRs, tight review loops, and test coverage that matches risk.

Performance budgets and release checklists keep launches predictable—especially when multiple stakeholders review changes.

  • CI-friendly testing: unit + integration + smoke tests
  • Performance budgets + bundle checks (Core Web Vitals-minded)
  • Structured release notes and rollback-safe deployments
  • Security checklist for auth, roles, and data flows
  • Observability hooks (logs + error tracking) ready for production
Ready to start?

Want GPT features that ship safely?

Share the workflow you want to automate. We’ll propose a prompt/tool strategy, rollout plan, and measurable success criteria.

Evaluation + fallback patterns included.