01
Custom AI Agent Development
Purpose-built agents tailored to your specific workflows, data sources, and tool ecosystem — from research assistants to fully autonomous decision-makers.
AI Agent Builder House
We forge AI agents
that work while
you don't
Alkemyst builds custom AI agents and multi-agent systems that transmute your operational complexity into compounding, autonomous value.
What we build
Four agent types.
Infinite applications.
Every agent we build is purpose-forged — trained on your data, connected to your systems, and evaluated against real-world goals. We don't ship demos; we deploy production agents.
02
Multi-Agent Orchestration
Fleets of specialised agents that collaborate, hand off tasks, and solve complex multi-step problems that no single model can handle alone.
03
Agent Integration & Deployment
Seamless connection of agents to your existing APIs, SaaS tools, and enterprise systems — with monitoring, guardrails, and full observability built in.
04
AI Strategy & Audit
Map your workflows, identify your highest-ROI automation opportunity, and build a sequenced agentic roadmap — so your first deployment lands cleanly and compounds.
Use cases
Agents built for every function
Real-world deployments across industries. Click a function to explore what's possible.
Inbound Lead Qualification Agent
Automatically scores, enriches, and routes every inbound lead. Pulls firmographic data from LinkedIn, cross-references CRM history, and creates a tailored call brief for your rep before they pick up the phone.
68% reduction in time-to-first-contact
Proposal Generation Agent
Drafts bespoke proposals in minutes by pulling from your proposal library, CRM deal notes, and the prospect's public data. Outputs a formatted, branded document ready for final review.
Proposals written 12× faster
Pipeline Intelligence Agent
Monitors deal activity across your CRM, flags at-risk opportunities, surfaces upsell signals, and sends reps a daily briefing on which deals need attention today — and why.
22% improvement in win rate
Outbound Sequence Agent
Researches target accounts, writes personalised multi-touch outreach sequences, and sends them on optimal timing — all without a rep lifting a finger. Escalates warm replies to humans.
3× reply rate vs templated outreach
Operations Reporting Agent
Pulls data from your ops stack every morning, generates a formatted performance report with anomaly flags, and distributes it to the right stakeholders — zero manual effort.
15 hours per week reclaimed
Vendor & Procurement Agent
Monitors vendor SLAs, flags contract renewal windows, compares pricing across suppliers, and drafts RFP documents. Keeps procurement proactive instead of reactive.
40% reduction in procurement admin
Meeting Intelligence Agent
Joins, transcribes, and summarises every meeting. Extracts action items, assigns owners, updates project management tools, and sends follow-ups — automatically, within 2 minutes of the call ending.
Eliminates manual meeting admin entirely
Compliance Monitoring Agent
Continuously scans internal documents, contracts, and communications against your compliance policies. Flags violations, logs incidents, and generates audit-ready reports on demand.
95% faster compliance review cycles
Invoice Processing Agent
Extracts data from any invoice format, validates against POs, routes for approval, posts to accounting, and files the document — end-to-end, no human in the loop.
Invoice processing cost cut by 80%
Financial Reporting Agent
Consolidates data across your ERP, bank feeds, and spreadsheets to produce board-ready P&L, cashflow, and variance reports — on schedule, every time, without analyst hours.
Board reports in 4 minutes, not 4 days
Expense Anomaly Agent
Monitors all transactions against policy and historical patterns. Flags outliers, duplicate charges, and policy breaches in real time — before they become audit issues.
Catches 3× more anomalies than manual review
Accounts Receivable Agent
Tracks outstanding invoices, sends tiered follow-up communications, escalates overdue accounts, and provides a live AR health dashboard — all without chasing spreadsheets.
DSO reduced by an average of 11 days
Content Production Agent
Takes a brief and produces a full content package — long-form article, LinkedIn post, email, and ad copy — all on-brand, SEO-optimised, and ready for human review in under 5 minutes.
10× content output, same team size
Competitive Intelligence Agent
Monitors competitor websites, press releases, job postings, and social channels daily. Delivers a structured briefing on positioning shifts, product moves, and market signals every Monday morning.
Always-on intelligence, zero manual research
Campaign Analytics Agent
Connects to your ad platforms, CRM, and analytics tools to surface weekly performance insights, identify budget waste, and recommend optimisations — in plain language your team can act on.
23% average improvement in ROAS
Email Personalisation Agent
Segments your list dynamically, generates hyper-personalised email copy for each segment based on behaviour and history, and A/B tests variants automatically — at enterprise scale.
41% lift in email open rates
CV Screening & Shortlisting Agent
Reads every application against your role criteria and company values. Scores, ranks, and produces a shortlist with a brief rationale for each candidate — in minutes, not days.
Time-to-shortlist cut from 5 days to 40 minutes
Candidate Interview Prep Agent
Generates role-specific interview question sets, prepares interviewers with a candidate brief, and sends structured feedback forms post-interview — ensuring consistent, objective hiring decisions.
50% reduction in hiring bias indicators
Employee Onboarding Agent
Guides new hires through their first 90 days — sending the right documents at the right time, checking in with scheduled prompts, answering policy questions, and flagging issues to HR.
New hire ramp time reduced by 30%
HR Policy Q&A Agent
A 24/7 internal assistant that answers employee questions on benefits, leave policies, payroll, and procedures — drawing from your HR documentation and escalating complex cases to the right person.
72% of HR queries resolved without human
Contract Review Agent
Reviews NDAs, MSAs, and vendor contracts against your standard terms. Highlights deviations, missing clauses, and high-risk provisions — with a redline and commentary ready for legal sign-off.
Contract review time cut by 75%
Legal Research Agent
Searches case law, regulations, and precedent across your jurisdiction. Produces a structured research memo with citations in the format your team actually uses — in the time it takes to make a coffee.
Research memos in 8 minutes vs 8 hours
Regulatory Monitoring Agent
Tracks regulatory updates across your relevant jurisdictions and industries. Summarises changes, assesses impact on your business, and alerts the right people — before deadlines, not after.
Zero compliance deadline misses
Internal Legal Q&A Agent
Answers routine legal questions from internal teams — IP ownership, GDPR obligations, contract interpretation — drawing from your legal knowledge base and escalating to counsel when needed.
60% of internal legal queries resolved instantly
The transformation
Life before and after
an Alkemyst agent
Three real workflow comparisons — from how teams work today to how they work after deployment.
Scenario
Without agent
With Alkemyst agent
Scenario 01
Proposal writing for a professional services firm
Before
Senior consultant spends 4–6 hours pulling previous proposals, researching the client, writing and formatting. Each proposal is slightly inconsistent. Bottleneck hits at peak busy periods.
6 hrs
per proposal
After
Agent pulls from proposal library and CRM, researches prospect, and drafts a formatted, on-brand proposal in under 10 minutes. Consultant reviews and sends. Consistent quality every time.
10 min
per proposal
Scenario 02
Monthly financial reporting for a scale-up
Before
Finance analyst spends 3 days extracting data from 4 systems, reconciling in Excel, and building slides. Errors happen. The CFO always finds something to fix. Cycle repeats every month.
3 days
per reporting cycle
After
Reporting agent consolidates all sources, builds the report, and sends it to stakeholders automatically on the 1st of every month. Analyst focuses on analysis, not data wrangling.
4 min
per reporting cycle
Scenario 03
Candidate screening at a fast-growing company
Before
HR manager reviews 80 applications per role. Takes 5 full working days to shortlist 6 candidates. Quality varies by reviewer energy. Top candidates often accept other offers while waiting.
5 days
to first shortlist
After
Screening agent reads all applications, scores against criteria, and produces a ranked shortlist with rationale within 40 minutes of the application window closing. HR reviews and schedules immediately.
40 min
to first shortlist
40+
Agents deployed
12×
Avg workflow speed gain
3 wk
Median time to first agent
95%
Production success rate
How we work
From brief
to deployed
in weeks
A tight four-phase forge. Fast because our process is precise — not because we cut corners.
I
Workflow Discovery
Map, prioritise, brief
II
Agent Architecture
Memory, tools, reasoning
III
Build & Evaluation
Build, red-team, validate
IV
Deploy & Compound
Live, monitored, improving
Phase I of IV
Workflow Discovery
We map your processes, tools, and data to identify the highest-leverage agent opportunities. You get a prioritised agent brief before we write a single line of code — so we only build what will actually move the needle.
Process mapping workshop with your team
Tool and data source audit
ROI ranking of automation opportunities
Prioritised agent brief and project scope
Technology
Model-agnostic.
Best tool wins.
We have no preferred vendor. We choose from the full landscape of models, frameworks, and infrastructure based entirely on what performs best for your task and budget.
Language Models
GPT-4o / o3
Claude 3.5 / 3.7
Gemini 1.5 Pro
Llama 3.1
Mistral Large
Fine-tuned models
Agent Frameworks
LangGraph
AutoGen
CrewAI
LlamaIndex
Custom orchestration
Swarm
Infrastructure
AWS / Azure / GCP
Supabase / Postgres
Pinecone / Weaviate
Redis
Docker / Kubernetes
LangSmith (tracing)
Integrations
Salesforce / HubSpot
Slack / Teams
Notion / Jira
Google Workspace
Zapier / Make
Custom APIs
Why Alkemyst
Built for the agentic era
Most agencies slap an LLM on a form. We build actual agents — reasoning systems that plan, use tools, recover from errors, and improve over time.
Agent-native, not AI-washed
We design from the ground up with agentic architecture: persistent memory, tool use, planning, reflection, and feedback loops. Not retrofitted chatbots.
Evaluation-driven development
We build eval suites before we build agents. Every decision is grounded in measured performance against your actual tasks — not synthetic benchmarks.
Speed without shortcuts
Three weeks from kick-off to a live, monitored agent. Fast because the process is precise — not because we skip the hard problems like evaluation and edge-case handling.
Full-cycle ownership
Post-deployment support, re-evaluation, model updates, and performance optimisation come standard — not as an upsell. We own the outcome, not just the code.
Model-agnostic architecture
No preferred vendor. We choose from GPT-4o, Claude, Gemini, Llama, Mistral, or fine-tuned models based entirely on what performs best for your task and cost profile.
Compounding returns
Agents improve with every new data source, integration, and feedback cycle. The ROI of your agent fleet compounds over time — unlike a hire that plateaus.
FAQ
Questions we
get every call
Honest answers. No sales language.
A chatbot responds to prompts. An agent acts on goals. Agents have memory, can use tools (search the web, call APIs, write to databases), can break a task into sub-tasks, recover from errors, and pursue multi-step objectives autonomously. Think of a chatbot as a very smart autocomplete. An agent is a digital colleague.
For a well-scoped, single-workflow agent with accessible data, our median deployment time is 3 weeks from kick-off to production. More complex agents — particularly multi-agent systems requiring custom integrations or data cleanup — typically take 6–10 weeks. We always give you a fixed-scope estimate before any work begins.
Often yes — because agents can be scoped to work around messy data, or we can run a short data readiness sprint first. The key is being honest about it upfront (which our discovery questionnaire surfaces). Most businesses start with imperfect data. What kills agent projects isn't messy data — it's not knowing the data is messy and building on wrong assumptions.
No. We build monitoring dashboards and alerting so your operations team can see agent health without writing code. We also provide a handoff session and documentation. For clients who prefer it, we offer ongoing managed support where our team handles all maintenance, updates, and model migrations.
Our engagements start at $10,000 USD for a strategy and first-agent sprint. Full agent builds typically run $25,000–$50,000. Multi-agent systems for larger organisations range from $50,000–$100,000+. We don't work on hourly rates — everything is fixed-scope so you know exactly what you're getting before you commit.
Your data never leaves your infrastructure unless you choose to use third-party APIs. We build agents to run on your cloud environment (AWS, Azure, GCP) and we sign an NDA before any discovery work begins. For regulated industries, we work with privacy-first model options and can support on-premise deployments.
All our agents are built with human-in-the-loop checkpoints for high-stakes actions, confidence thresholds that trigger escalation when uncertain, full audit logs of every action taken, and rollback capabilities. Agents are not deployed on trust — they earn autonomy incrementally as their track record on your real tasks builds.
Ready to begin
Let's forge your
first agent
Tell us what your team spends the most time on. We'll tell you what an agent can do about it — free 45-minute discovery call, no commitment.