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.

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.